CN104224118B

CN104224118B - Outside recognition methods and equipment in limbs

Info

Publication number: CN104224118B
Application number: CN201410468258.4A
Authority: CN
Inventors: 刘浩
Original assignee: Beijing Zhigu Tech Co Ltd
Current assignee: Beijing Zhigu Tech Co Ltd
Priority date: 2014-09-15
Filing date: 2014-09-15
Publication date: 2016-10-05
Anticipated expiration: 2034-09-15
Also published as: CN104224118A

Abstract

This application provides outside recognition methods and equipment in a kind of limbs, relate to Wearable device field.Described method includes: obtaining one first blood oxygenation information of the first side of limbs of user, described first side is inner side or the outside of described limbs；According to described first blood oxygenation information and a reference information, identify that whether described first side is the inner side of described limbs.The equipment that described method and apparatus, beneficially user are worn is arranged automatically according to recognition result, promotes Consumer's Experience.

Description

Outside recognition methods and equipment in limbs

Technical field

The application relates to Wearable device field, particularly relates to outside identification side in a kind of limbs Method and equipment.

Background technology

In recent years, along with the development of Wearable device, Intelligent spire lamella, Intelligent bracelet, intelligence Glasses etc. progress into the life of people, enrich and facilitate the life of people greatly.

On intelligent watch configuration body-sensing sensor, can to the body-sensing data of user such as blood oxygen, Heart rate and blood glucose etc. are continuously monitored, to provide a user with health care service.This body-sensing passes Sensor or be embedded in the back side of dial plate, or it is embedded in the inner face of watchband, according to measuring principle, this Class body-sensing sensor must be close to the inner face of user's wrist just can accurately measure the body-sensing of user Data, this has resulted in user must wear intelligent watch in a fixed manner, brings to user Inconvenience.Such as, if body-sensing sensor is embedded in the inner face of watchband, then user must be intelligence The dial plate of wrist-watch is worn on the outside of wrist, and this can be got used to being worn on dial plate wrist inner face User make troubles.

Summary of the invention

The purpose of the application is: provide outside recognition methods and equipment in a kind of limbs.

An aspect according at least one embodiment of the application, it is provided that outside in a kind of limbs Recognition methods, described method includes:

Obtaining one first blood oxygenation information of the first side of limbs of user, described first side is institute State inner side or the outside of limbs；

According to described first blood oxygenation information and a reference information, identify whether described first side is institute State the inner side of limbs.

Another aspect according at least one embodiment of the application, it is provided that inside and outside a kind of limbs Side identifies equipment, and described equipment includes:

One first acquisition module, for obtaining one first blood oxygen of the first side of limbs of user Information, described first side is inner side or the outside of described limbs；

One identification module, for according to described first blood oxygenation information and a reference information, identifies institute State the inner side whether the first side is described limbs.

Another aspect according at least one embodiment of the application, it is provided that inside and outside a kind of limbs Side recognition methods, described method includes:

Obtaining one first body-sensing information of the first side of limbs of user, described first side is institute State inner side or the outside of limbs；

According to described first body-sensing information and a reference information, identify whether described first side is institute State the inner side of limbs.

One first acquisition module, for obtaining one first body-sensing of the first side of limbs of user Information, described first side is inner side or the outside of described limbs；

One identification module, for according to described first body-sensing information and a reference information, identifies institute State the inner side whether the first side is described limbs.

Outside recognition methods and equipment in limbs described in the embodiment of the present application, obtain a limb of user First blood oxygenation information of the first side of body, and then according to described first blood oxygenation information and with reference to letter Breath identifies that whether described first side is the inner side of described limbs, thus provides inside and outside a kind of limbs The Wearable device of side recognition methods, beneficially user is arranged automatically according to recognition result, Promote Consumer's Experience.

Accompanying drawing explanation

Fig. 1 is the flow chart of the interior outside recognition methods of limbs described in one embodiment of the application；

Fig. 2 be in one embodiment of the application inside wrist and palm inside schematic diagram；

Fig. 3 is the contrast of the skin conductance information in outside in wrist in one embodiment of the application Schematic diagram；

Fig. 4 is the refinement flow chart of step S140a described in one embodiment of the application；

Fig. 5 is the refinement flow chart of step S140a described in another embodiment of the application；

Fig. 6 is the contrast signal of the temperature information in outside in wrist in one embodiment of the application Figure；

Fig. 7 is the refinement flow chart of step S140b described in one embodiment of the application；

Fig. 8 is the refinement flow chart of step S140b described in another embodiment of the application；

Fig. 9 is that in one embodiment of the application, in wrist, the contrast of the acid-base value information in outside is shown It is intended to；

Figure 10 is the refinement flow chart of step S140c described in one embodiment of the application；

Figure 11 is the refinement flow chart of step S140c described in another embodiment of the application；

Figure 12 is that in one embodiment of the application, in wrist, the contrast of the PPG information in outside is shown It is intended to；

Figure 13 is the refinement flow chart of step S140d described in one embodiment of the application；

Figure 14 is the refinement flow chart of step S140d described in another embodiment of the application；

Figure 15 is that in one embodiment of the application, in wrist, the contrast of the humidity information in outside is shown It is intended to；

Figure 16 is the refinement flow chart of step S140e described in one embodiment of the application；

Figure 17 is the refinement flow chart of step S140e described in another embodiment of the application；

Figure 18 is that in one embodiment of the application, in wrist, the contrast of the blood oxygenation information in outside is shown It is intended to；

Figure 19 is the refinement flow chart of step S140f described in one embodiment of the application；

Figure 20 is the refinement flow chart of step S140f described in another embodiment of the application；

Figure 21 is that in one embodiment of the application, in wrist, the contrast of the fatty information in outside is shown It is intended to；

Figure 22 is the refinement flow chart of step S140g described in one embodiment of the application；

Figure 23 is the refinement flow chart of step S140g described in another embodiment of the application；

Figure 24 is the flow chart of the interior outside recognition methods of limbs in one embodiment of the application；

Figure 25 is the module knot that the interior outside of limbs described in one embodiment of the application identifies equipment Composition；

Figure 26 is the module that the interior outside of limbs described in one embodiment of the application identifies equipment Structure chart；

Figure 27 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 28 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 29 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 30 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 31 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 32 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 33 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 34 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 35 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 36 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 37 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 38 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 39 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 40 is the mould that the interior outside of limbs described in another embodiment of the application identifies equipment Block structural diagram；

Figure 41 is the hardware that the interior outside of limbs described in one embodiment of the application identifies equipment Structural representation.

Detailed description of the invention

Below in conjunction with the accompanying drawings and embodiment, the detailed description of the invention of the application is made the most in detail Explanation.Following example are used for illustrating the application, but are not limited to scope of the present application.

It will be appreciated by those skilled in the art that in embodiments herein, the sequence number of following each step Size be not meant to the priority of execution sequence, the execution sequence of each step should with its function and Internal logic determine, and the implementation process of the embodiment of the present application should not constituted any restriction.

Fig. 1 is the flow chart of the interior outside recognition methods of limbs described in one embodiment of the application, institute The method of stating can realize on the identification equipment of outside in such as one limbs.As it is shown in figure 1, it is described Method includes:

S120: one first body-sensing information of the first side of limbs of acquisition user, described first Side is inner side or the outside of described limbs；

S140: according to described first body-sensing information and a reference information, identifies that described first side is No is the inner side of described limbs.

Method described in the embodiment of the present application, obtains the first body-sensing of the first side of limbs of user Information, and then according to the first side described in described first body-sensing information and a reference information identification whether It is the inner side of described limbs, thus provides outside recognition methods in a kind of limbs, be conducive to using The Wearable device at family is arranged automatically according to recognition result, promotes Consumer's Experience.

Below with reference to detailed description of the invention, describe the merit of described step S120 and S140 in detail Energy.

S120: one first body-sensing information of the first side of limbs of acquisition user, described first Side is inner side or the outside of described limbs.

Wherein, described limbs can include the upper limb of described user, lower limb.Concrete, described The inner side of limbs can be the inner side of wrist, the inner side of palm, the inner side of sole, corresponding institute The outside stating limbs can be with the outside of wrist, the outside of palm, the outside of sole.Such as Fig. 2 institute Showing, in the inner side of described palm i.e. Fig. 2, the palm of the hand 220 is corresponding in the palm of the hand 220 side with finger The region that region, the outside of palm i.e. the back of the hand and finger are corresponding in the back of the hand side；Described wrist In inner side i.e. Fig. 2 and the described palm of the hand 220 homonymy the first area between palm and forearm 210, the outside of wrist is relative with described first area 210, namely with described the back of the hand homonymy And the second area between palm and forearm.The inner side of described sole is the district that sole is corresponding Territory, the outside of described sole is the region that instep is corresponding.

Described first side is inner side or the outside of described wrist, or the inner side of described palm or Outside, or the outside of described sole or inner side.For the sake of Jian Dan, many with described first below Side is to illustrate as a example by the inner side of described wrist or outside.

Described first body-sensing information can be the skin conductance information of described limbs the first side, body temperature Information, acid-base value information, PPG information, humidity information, blood oxygenation information, fat information etc., It can be obtained by the corresponding body-sensing sensor contacted to user's skin, current intelligent wrist Band, intelligent watch etc. the most all have these sensors, and therefore, the enforcement of described method will not Increase the hardware cost of existing Wearable.

A) described first body-sensing information can be the skin conductance information of described first side, i.e. One skin conductance information.Described step S140 is:

S140a: according to described first skin conductance information and a reference information, identifies described Whether side is the inner side of described limbs.

Inventor finds under study for action, owing to the sweat gland quantity inside limbs is more than outside limbs, Skin outside limbs is more coarse than inside limbs simultaneously, the skin conductance inside the limbs of user With the skin conductance outside limbs, there is marked difference statistically, i.e. both variances to be less than In 0.05.As it is shown on figure 3, upper curve represents the skin conductivity inside the wrist to a user Signal is carried out sampling the curve of the skin conductance information obtained, and lower curve represents described user Hands extracarpal skin conductivity signal carry out sampling and obtain the curve of skin conductance information.Wherein, Horizontal axis representing time, unit is the second, and the longitudinal axis represents conductance, and unit is micro-west.It will be seen that Article two, curve has significant difference, can obtain after analysis, the skin conductance information inside wrist Meansigma methods be significantly greater than the meansigma methods of the extracarpal skin conductance information of hands.It is similar to, invention People also finds that the meansigma methods of the skin conductance information inside palm is significantly greater than the skin outside palm The meansigma methods of skin conduction information, and the meansigma methods of the skin conductance information inside sole is the biggest The meansigma methods of the skin conductance information outside sole.Therefore, herein described based on this principle Method can realize the identification in outside in limbs.

In one embodiment, described reference information be on described limbs with described first side The Second Skin conduction information that the second relative side obtains.Such as, can arrange described in two groups Body-sensing sensor, gathers corresponding skin conductivity in the first side of described limbs and the second side simultaneously Information, and using the skin conductance information in the second side collection as described reference information.

In present embodiment, described step S140a can be by relatively described first skin conductivity The meansigma methods of information and the size of meansigma methods of described Second Skin conduction information, identify described the Whether side is the inner side of described limbs, and concrete, as shown in Figure 4, it may include that

S141a: the meansigma methods in response to described first skin conductance information is more than described second skin The meansigma methods of skin conduction information, identifies that described first side is the inner side of described limbs；

S142a: the meansigma methods in response to described first skin conductance information is less than described second skin The meansigma methods of skin conduction information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that skin conductance information and lateral cutaneous conduction information determine.Concrete, such as Fig. 5 institute Showing, described step S140a may include that

S141a ': the meansigma methods in response to described first skin conductance information is more than described threshold value, Identify that described first side is the inner side of described limbs；

S142a ': the meansigma methods in response to described first skin conductance information is less than described threshold value, Identify that described first side is not the inner side of described limbs.

Such as, inside skin conduction information and the outside of described limbs of described limbs are gathered in advance Skin conductance information, and analyzing and processing, it is assumed that described inside skin conduction information average Value falls into the first interval (I_min,I_max), it is assumed that the meansigma methods of described lateral cutaneous conduction information Fall into the second interval (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold Value is M, and O_max＜ M ＜ I_min.It is to say, described threshold value M is described first A numerical value between interval and described second interval.

Therefore, if the meansigma methods of described first skin conductance information is more than described threshold value M, then Thinking that it falls into described first interval, described first side is the inner side of described limbs；If it is described The meansigma methods of the first skin conductance information is less than described threshold value M, then it is assumed that it falls into described second Interval, described first side is not the inner side of described limbs, is i.e. the outside of described limbs.

B) described first body-sensing information can be the body temperature information of described first side, the i.e. first body temperature Information.Described step S140 is:

S140b: according to described first body temperature information and a reference information, identifies described first side It it is whether the inner side of described limbs.

Inventor finds under study for action, owing to comparing inside limbs outside limbs closer to tremulous pulse Blood vessel, the body temperature inside the limbs of user can be higher than the body temperature outside limbs.As shown in Figure 6, First curve 610 represents that employing the first body temperature trans is to the body temperature inside the wrist of a user Signal is carried out sampling the curve of the body temperature information obtained, and the second curve 620 represents and uses the second body Temperature sensor carries out sampling to the extracarpal temperature signals of hands of described user and obtains body temperature information Curve.Wherein, horizontal axis representing time, unit is the second, and the longitudinal axis represents temperature, and unit is for taking the photograph Family name's degree, 0 moment, corresponding described user started to wear described first body temperature trans and described second The time of body temperature trans.

It will be seen that two curves are at t in Fig. 6₁There is before moment significant difference, can after analysis To obtain, the body temperature inside wrist is significantly greater than the extracarpal body temperature of hands.At t₁After moment, two Bar curve gradually merges, and this is owing to connecting described first body temperature trans and described second body temperature The body temperature that the conductive force of the connecting portion of sensor makes two sensors detect tends to identical.? In another experiment, we eliminate the connecting portion in the middle of two body temperature transes, finally give Body temperature inside temperature curve display wrist is always more than hands extracarpal body temperature value, its temperature difference It is about 0.2 DEG C.

Being similar to, inventor also finds that the body temperature inside palm is significantly greater than the body temperature outside palm, And the body temperature inside sole is significantly greater than the body temperature outside sole.Therefore, based on this principle originally Apply for that described method can realize the identification in outside in limbs.

In one embodiment, described reference information be on described limbs with described first side One second body temperature information that the second relative side obtains.Such as, body-sensing described in two groups can be set Sensor, gathers corresponding body temperature information in the first side of described limbs and the second side simultaneously, and Using the body temperature information in the second side collection as described reference information.

In present embodiment, described step S140b can be by relatively described first body temperature information Meansigma methods and the size of meansigma methods of described second body temperature information, whether identify described first side It it is the inner side of described limbs.The meansigma methods of described first body temperature information is described first body temperature information In the meansigma methods of temperature value corresponding to multiple sampled points, similar, described second body temperature information Meansigma methods is the meansigma methods of the temperature value that multiple sampled points are corresponding in described second body temperature information.Logical Cross employing meansigma methods, single sampled point can be avoided to cause knowing in the case of sampling error occurs Not mistake, improves recognition accuracy.Concrete, seeing Fig. 7, described step S140b is permissible Including:

S141b: the meansigma methods in response to described first body temperature information is believed more than described second body temperature The meansigma methods of breath, identifies that described first side is the inner side of described limbs；

S142b: the meansigma methods in response to described first body temperature information is believed less than described second body temperature The meansigma methods of breath, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that body temperature information and outside body temperature information determine.Concrete, see Fig. 8, described step Rapid S140b may include that

S141b ': the meansigma methods in response to described first body temperature information is more than described threshold value, identifies Described first side is the inner side of described limbs；

S142b ': the meansigma methods in response to described first body temperature information is less than described threshold value, identifies Described first side is not the inner side of described limbs.

Such as, the inner side body temperature information of described limbs and the outside body temperature of described limbs are gathered in advance Information, and analyze and process, it is assumed that the meansigma methods of described inner side body temperature information falls into the firstth district Between (I_min,I_max), it is assumed that it is interval that the meansigma methods of described outside body temperature information falls into second (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold value is M, and And O_max＜ M ＜ I_min.It is to say, described threshold value M is described first interval and described A numerical value between second interval.

Therefore, if the meansigma methods of described first body temperature information is more than described threshold value M, then it is assumed that It falls into described first interval, and described first side is the inner side of described limbs；If described first The meansigma methods of body temperature information is less than described threshold value M, then it is assumed that it falls into described second interval, institute State the inner side that the first side is not described limbs, be i.e. the outside of described limbs.

If it should be noted that outside identifies that equipment contacts described limbs in described limbs simultaneously Inner side and outer side, and there is the conduction of heat by described equipment, the most described first body temperature information Should make a reservation for from wearing described equipment with the acquisition time of described second body temperature information Complete in time, i.e. should be at t described in Fig. 6₁Completed before moment, to avoid two strips temperature curve Merge and cause identifying mistake.

C) described first body-sensing information can be the acid-base value information of described first side, i.e. first Acid-base value information.Described step S140 is:

S140c: according to described first acid-base value information and a reference information, identify described first Whether side is the inner side of described limbs.

Inventor finds under study for action, owing to the sweat gland quantity inside limbs is more than outside limbs, Acid-base value (i.e. pH value) inside the limbs of user is significantly less than the acid-base value outside limbs. As it is shown in figure 9, the first curve 910 represents that the extracarpal acid-base value signal of the hands to a user enters The curve of the acid-base value information that row sampling obtains, the second curve 920 represents the hands to described user Acid-base value signal inside wrist carries out sampling and obtains the curve of acid-base value information.Wherein, transverse axis table Showing the time, unit is the second, and the longitudinal axis represents acid-base value.

It will be seen that two curves are at t in Fig. 9₂There is before moment significant difference, can after analysis To obtain, the extracarpal acid-base value of hands is significantly greater than the acid-base value inside wrist.At t₂After moment, Article two, curve gradually merges, and this is truly to use environment due to this experimental simulation user, wears After outside identifies equipment a period of time in described limbs, described limbs there is perspiration to ooze out.Separately In one experiment, we eliminate the impact (as tested in cold environment) that perspiration oozes out, The acid-base value curve display extracarpal acid-base value of hands finally given is always more than inside wrist PH value, its difference is about 0.3～0.4.

Being similar to, inventor also finds that the acid-base value outside palm is significantly greater than the acid inside palm Acid-base value outside basicity, and sole is significantly greater than the acid-base value inside sole.Therefore, base The identification in outside in the herein described method of this principle can realize limbs.

In one embodiment, described reference information be on described limbs with described first side The one second acid-base value information that the second relative side obtains.Such as, body described in two groups can be set Propagated sensation sensor, gathers corresponding acid-base value information in the first side of described limbs and the second side simultaneously, And using the acid-base value information in the second side collection as described reference information.

In present embodiment, described step S140c can be believed by the most described first acid-base value The meansigma methods of breath and the size of the meansigma methods of described second acid-base value information, identify described first side It it is whether the inner side of described limbs.The meansigma methods of described first acid-base value information is described first acid In basicity information, the meansigma methods of the pH value that multiple sampled points are corresponding, similar, described second acid The meansigma methods of basicity information is the pH value that in described second acid-base value information, multiple sampled points are corresponding Meansigma methods.By using meansigma methods, can avoid single sampled point that sampling error is occurring In the case of cause identify mistake, improve recognition accuracy.Concrete, see Figure 10, described Step S140c may include that

S141c: the meansigma methods in response to described first acid-base value information is less than described second soda acid The meansigma methods of degree information, identifies that described first side is the inner side of described limbs；

S142c: the meansigma methods in response to described first acid-base value information is more than described second soda acid The meansigma methods of degree information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that acid-base value information and outside acid-base value information determine.Concrete, see Figure 11, Described step S140c may include that

S141c ': the meansigma methods in response to described first acid-base value information is less than described threshold value, knows The most described first side is the inner side of described limbs；

S142c ': the meansigma methods in response to described first acid-base value information is more than described threshold value, knows The most described first side is not the inner side of described limbs.

Such as, the inner side acid-base value information of described limbs and the outside acid of described limbs are gathered in advance Basicity information, and analyze and process, it is assumed that the meansigma methods of described inner side acid-base value information falls into First interval (I_min,I_max), it is assumed that the meansigma methods of described outside acid-base value information falls into second Interval (O_min,O_max), then have I_max＜ O_min, then may determine that described threshold value is M, And I_max＜ M ＜ O_min.It is to say, described threshold value M is the described first interval and institute State a numerical value between the second interval.

Therefore, if the meansigma methods of described first acid-base value information is more than described threshold value M, then recognize Falling into described second interval for it, described first side is the outside of described limbs；If described The meansigma methods of one acid-base value information is less than described threshold value M, then it is assumed that it falls into described first interval, Described first side is not the outside of described limbs, is i.e. the inner side of described limbs.

If it should be noted that outside identifies that equipment contacts the interior of described limbs in described limbs Side and outside, and there is the situation that contact portion has perspiration to ooze out, the most described first acid-base value letter The acquisition time of breath and described second acid-base value information should be from wearing described equipment Complete in the scheduled time, i.e. should be at t described in Fig. 9₂Completed before moment, i.e. ooze out it at perspiration Before complete, cause to avoid two acid-base value curves to merge identifying mistake.

D) described first body-sensing information can be the PPG information of described first side, the i.e. the oneth PPG Information.A described PPG information can use reflection mode or transmission mode to obtain.Adopt When using reflection mode, corresponding PPG sensor can be arranged on the first side of described limbs Obtain；When using transmission mode, the detection signal that the transmitting terminal of corresponding PPG sensor sends Receiving through the first receiving end, rear flank of described limbs, described detection signal is without with described The second side that first side is relative.

Described step S140 is:

S140d: according to a described PPG information and a reference information, identifies described first side It it is whether the inner side of described limbs.

Inventor finds under study for action, owing to comparing limbs lateral cutaneous light transmittance inside limbs more Height, the averaged amplitude value of the PPG information inside the limbs of user can be higher than the PPG outside limbs The averaged amplitude value of information.As shown in figure 12, the first curve 1210 represents employing the oneth PPG PPG signal inside the wrist of one user is sampled the PPG information that obtains by sensor Curve, the second curve 1220 represents outside employing the 2nd PPG sensor wrist to described user The PPG signal of side carries out sampling and obtains the curve of PPG information.Wherein, horizontal axis representing time, Unit is the second, and the longitudinal axis represents voltage amplitude value, and unit is volt.It will be seen that in Figure 12 two Bar curve has significant difference, can obtain after analysis, putting down of the PPG information inside wrist All range values can be higher than the averaged amplitude value of hands extracarpal PPG information.Wherein, described PPG The averaged amplitude value of information is the meansigma methods of multiple PPG range value.

Being similar to, inventor also finds that the averaged amplitude value of the PPG information inside palm is the biggest The averaged amplitude value of the PPG information outside palm, and the PPG information inside sole Averaged amplitude value is significantly greater than the averaged amplitude value of the PPG information outside sole.Therefore, base The identification in outside in the herein described method of this principle can realize limbs.

In one embodiment, described reference information be on described limbs with described first side One the 2nd PPG information that the second relative side obtains.Such as, body described in two groups can be set Propagated sensation sensor, gathers corresponding PPG information in the first side of described limbs and the second side simultaneously, And using the PPG information in the second side collection as described reference information.

In present embodiment, described step S140b can be by a relatively described PPG information Averaged amplitude value and the size of averaged amplitude value of described 2nd PPG information, identify described Whether the first side is the inner side of described limbs.The averaged amplitude value of a described PPG information is The meansigma methods of the PPG range value that multiple sampled points are corresponding in a described PPG information is similar , the averaged amplitude value of described 2nd PPG information is multiple in described 2nd PPG information adopting The meansigma methods of the PPG range value that sampling point is corresponding.By using meansigma methods, can avoid single Sampled point causes identifying mistake in the case of there is sampling error, improves recognition accuracy.Tool Body, see Figure 13, described step S140d may include that

S141d: the averaged amplitude value in response to a described PPG information is more than described second The averaged amplitude value of PPG information, identifies that described first side is the inner side of described limbs；

S142d: the averaged amplitude value in response to a described PPG information is less than described second The averaged amplitude value of PPG information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that PPG information and outside P PG information determine.Concrete, see Figure 14, described Step S140d may include that

S141d ': the averaged amplitude value in response to a described PPG information is more than described threshold value, Identify that described first side is the inner side of described limbs；

S142d ': the averaged amplitude value in response to a described PPG information is less than described threshold value, Identify that described first side is not the inner side of described limbs.

Such as, inner side PPG information and outside P PG of described limbs of described limbs are gathered in advance Information, and analyze and process, it is assumed that the averaged amplitude value of described inner side PPG information falls into First interval (I_min,I_max), it is assumed that the averaged amplitude value of described outside P PG information falls into Two interval (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold value is M, And O_max＜ M ＜ I_min.It is to say, described threshold value M is the described first interval and institute State a numerical value between the second interval.

Therefore, if the averaged amplitude value of a described PPG information is more than described threshold value M, Then thinking that it falls into described first interval, described first side is the inner side of described limbs；If institute State the averaged amplitude value of a PPG information less than described threshold value M, then it is assumed that it falls into described Second is interval, and described first side is not the inner side of described limbs, is i.e. the outside of described limbs.

E) described first body-sensing information can be the humidity information of described first side, the i.e. first humidity Information.Described step S140 is:

S140e: according to described first humidity information and a reference information, identifies described first side It it is whether the inner side of described limbs.

Inventor finds under study for action, has more antiperspirant owing to comparing inside limbs outside limbs Gland, the humidity inside the limbs of user can be higher than the humidity outside limbs.As shown in figure 15, First curve 1510 represents that employing the first humidity sensor is to the humidity inside the wrist of a user Signal is carried out sampling the curve of the humidity information obtained, and the second curve 1520 represents employing second Humidity sensor carries out sampling and obtains humidity letter the extracarpal moisture signal of hands of described user The curve of breath.Wherein, horizontal axis representing time, unit is the second, and the longitudinal axis represents humidity.Can see Arriving, in Figure 15, two curves show, it is extracarpal wet that the humidity inside wrist is significantly greater than hands Degree.

Being similar to, inventor also finds that the humidity inside palm is significantly greater than the humidity outside palm, And the humidity inside sole is significantly greater than the humidity outside sole.Therefore, based on this principle originally Apply for that described method can realize the identification in outside in limbs.

In one embodiment, described reference information be on described limbs with described first side One second humidity information that the second relative side obtains.Such as, body-sensing described in two groups can be set Sensor, gathers corresponding humidity information in the first side of described limbs and the second side simultaneously, and Using the humidity information in the second side collection as described reference information.

In present embodiment, described step S140e can be by relatively described first humidity information Meansigma methods and the size of meansigma methods of described second humidity information, whether identify described first side It it is the inner side of described limbs.The meansigma methods of described first humidity information is described first humidity information In the meansigma methods of humidity value corresponding to multiple sampled points, similar, described second humidity information Meansigma methods is the meansigma methods of the humidity value that multiple sampled points are corresponding in described second humidity information.Logical Cross employing meansigma methods, single sampled point can be avoided to cause knowing in the case of sampling error occurs Not mistake, improves recognition accuracy.Concrete, seeing Figure 16, described step S140e can To include:

S141e: the meansigma methods in response to described first humidity information is believed more than described second humidity The meansigma methods of breath, identifies that described first side is the inner side of described limbs；

S142e: the meansigma methods in response to described first humidity information is believed less than described second humidity The meansigma methods of breath, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that humidity information and outside humidity information determine.Concrete, see Figure 17, described Step S140e may include that

S141e ': the meansigma methods in response to described first humidity information is more than described threshold value, identifies Described first side is the inner side of described limbs；

S142e ': the meansigma methods in response to described first humidity information is less than described threshold value, identifies Described first side is not the inner side of described limbs.

Such as, the inner side humidity information of described limbs and the outside humidity of described limbs are gathered in advance Information, and analyze and process, it is assumed that the meansigma methods of described inner side humidity information falls into the firstth district Between (I_min,I_max), it is assumed that it is interval that the meansigma methods of described outside humidity information falls into second (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold value is M, and And O_max＜ M ＜ I_min.It is to say, described threshold value M is described first interval and described A numerical value between second interval.

Therefore, if the meansigma methods of described first humidity information is more than described threshold value M, then it is assumed that It falls into described first interval, and described first side is the inner side of described limbs；If described first The meansigma methods of humidity information is less than described threshold value M, then it is assumed that it falls into described second interval, institute State the inner side that the first side is not described limbs, be i.e. the outside of described limbs.

F) described first body-sensing information can be the blood oxygenation information of described first side, the i.e. first blood oxygen Information.Described blood oxygenation information can be blood oxygen saturation, and it can use reflection mode or thoroughly The mode of penetrating obtains.Such as, when using reflection mode to obtain described first blood oxygenation information, can be by Corresponding blood oxygen transducer is arranged on the first side of described limbs and obtains；Employing transmission mode obtains During described first blood oxygenation information, the detection signal that the transmitting terminal of corresponding blood oxygen transducer sends passes through First receiving end, rear flank of described limbs receives, and described detection signal is without with described first The second side that side is relative.

Described step S140 is:

S140f: according to described first blood oxygenation information and a reference information, identifies that described first side is No is the inner side of described limbs.

Inventor finds under study for action, and blood oxygen saturation is usually according to blood in blood vessel difference The absorbtivity of the light of wavelength measures.Owing to the vein blood vessel inside limbs is significantly more than outside limbs Vein blood vessel, arteries distribution simultaneously is relatively deep, is normally between limbs inner side and outer side Middle part, therefore, the meansigma methods of the blood oxygenation information recorded inside the limbs of user can be higher than limb The meansigma methods of the blood oxygenation information that external side records.As shown in figure 18, the first curve 1810 represents Use the first blood oxygen transducer that the blood oxygen signal inside the wrist of one user is carried out sampling to obtain The curve of blood oxygenation information, the second curve 1820 represents and uses the second blood oxygen transducer to described The hands extracarpal blood oxygen signal of user carries out sampling and obtains the curve of blood oxygenation information.Wherein, horizontal Axle express time, unit is the second, and the longitudinal axis represents blood oxygen saturation.It will be seen that in Figure 18 Article two, curve has significant difference, can obtain after analysis, putting down of the blood oxygenation information inside wrist Average can be higher than the meansigma methods of the extracarpal blood oxygenation information of hands.Wherein, described blood oxygenation information is flat Average is the meansigma methods of the blood oxygen saturation that multiple sampled point is corresponding.

Being similar to, inventor also finds that the meansigma methods of the blood oxygenation information inside palm is significantly greater than hands The meansigma methods of the blood oxygenation information outside the palm, and the meansigma methods of the blood oxygenation information inside sole is obvious Meansigma methods more than the blood oxygenation information outside sole.Therefore, based on the herein described side of this principle Method can realize the identification in outside in limbs.

In one embodiment, described reference information be on described limbs with described first side One second blood oxygenation information that the second relative side obtains.Such as, body-sensing described in two groups can be set Sensor, gathers corresponding blood oxygenation information in the first side of described limbs and the second side simultaneously, and Using the blood oxygenation information in the second side collection as described reference information.

In present embodiment, described step S140f can be by relatively described first blood oxygenation information Meansigma methods and the size of meansigma methods of described second blood oxygenation information, whether identify described first side It it is the inner side of described limbs.The meansigma methods of described first blood oxygenation information is described first blood oxygenation information In the meansigma methods of blood oxygen saturation corresponding to multiple sampled points, similar, described second blood oxygen letter The meansigma methods of breath is the blood oxygen saturation that in described second blood oxygenation information, multiple sampled points are corresponding Meansigma methods.By using meansigma methods, can avoid single sampled point that the feelings of sampling error are occurring Cause under condition identifying mistake, improve recognition accuracy.Concrete, see Figure 19, described step Rapid S140f may include that

S141f: the meansigma methods in response to described first blood oxygenation information is more than described second blood oxygenation information Meansigma methods, identify that described first side is the inner side of described limbs；

S142f: the meansigma methods in response to described first blood oxygenation information is less than described second blood oxygenation information Meansigma methods, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that blood oxygenation information and outside blood oxygenation information determine.Concrete, see Figure 20, described Step S140f may include that

S141f ': the meansigma methods in response to described first blood oxygenation information is more than described threshold value, identifies Described first side is the inner side of described limbs；

S142f ': the meansigma methods in response to described first blood oxygenation information is less than described threshold value, identifies Described first side is not the inner side of described limbs.

Such as, the inner side blood oxygenation information of described limbs and the outside blood oxygen of described limbs are gathered in advance Information, and analyze and process, it is assumed that the meansigma methods of described inner side blood oxygenation information falls into the firstth district Between (I_min,I_max), it is assumed that it is interval that the meansigma methods of described outside blood oxygenation information falls into second (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold value is M, and And O_max＜ M ＜ I_min.It is to say, described threshold value M is described first interval and described A numerical value between second interval.

Therefore, if the meansigma methods of described first blood oxygenation information is more than described threshold value M, then it is assumed that It falls into described first interval, and described first side is the inner side of described limbs；If described first The meansigma methods of blood oxygenation information is less than described threshold value M, then it is assumed that it falls into described second interval, institute State the inner side that the first side is not described limbs, be i.e. the outside of described limbs.

G) described first body-sensing information can be the fatty information of described first side, the i.e. first fat Information.Described fat information can be fat percentage, and such as, described first fat information can be Corresponding fats measurement sensor measures, in the first side of described limbs, the fat percentage obtained.

Described step S140 is:

S140g: according to described first fat information and a reference information, identify described first side It it is whether the inner side of described limbs.

Inventor finds in research process, the current main flow of the content of body fat, i.e. fat percentage Method be first to measure bulk resistor, then according to bulk resistor speculate fat content.The health of people Water content is about 70%, and these moisture content overwhelming majority are present in blood, lean meat and internal organs, And water content is extremely low in fat.Internal moisture content presents low resistance owing to being dissolved with various composition, Fat but presents high resistance, thus in human body, the scale effect of fat and water is to the resistance of human body, If it is considered that fat and the combined resistance of moisture content, then fat more many human body resistances value is the highest.And The limbs of people, such as wrist, due to the result of natural evolution, the fat content in outside is higher than interior Side.For wrist, outside wrist, fat content height can protect muscle and arteries not Injured；Meanwhile, outside the moisture wrist to be significantly higher than inside wrist, this be by Outside sweat gland quantity wrist to be significantly higher than inside wrist.So comprehensive the two factor, The inner side of the extracarpal fat percentage of hands wrist to be significantly higher than.As shown in figure 21, first is bent Line 2110 represents that the fat inside the wrist of a user is contained by employing the first fats measurement sensor Amount is carried out sampling the curve of the fatty information obtained, and the second curve 2120 represents and uses the second fat Fat sensor carries out sampling and obtains fat information the extracarpal fat content of hands of described user Curve.Wherein, horizontal axis representing time, unit is the second, and the longitudinal axis represents fat percentage.Can see Arriving, in Figure 21, two curves have significant difference, can obtain after analysis, and hands is extracarpal The meansigma methods of fat information can be higher than the meansigma methods of the fatty information inside wrist.Wherein, described The meansigma methods of fat information is the meansigma methods of the fat percentage that multiple sampled point is corresponding.

Being similar to, inventor also finds that the meansigma methods of the fatty information outside palm is significantly greater than hands The meansigma methods of the fatty information inside the palm, and the meansigma methods of the fatty information outside sole is obvious Meansigma methods more than the fatty information inside sole.Therefore, based on the herein described side of this principle Method can realize the identification in outside in limbs.

In one embodiment, described reference information be on described limbs with described first side The one second fat information that the second relative side obtains.Such as, body-sensing described in two groups can be set Sensor, gathers corresponding fat information simultaneously in the first side of described limbs and the second side, and Using the fatty information in the second side collection as described reference information.

In present embodiment, described step S140g can be by the most described first fat information Meansigma methods and the size of meansigma methods of described second fat information, whether identify described first side It it is the inner side of described limbs.The meansigma methods of described first fat information is described first fat information In the meansigma methods of fat percentage corresponding to multiple sampled points, similar, described second fat information Meansigma methods is the meansigma methods of the fat percentage that multiple sampled points are corresponding in described second fat information.Logical Cross employing meansigma methods, single sampled point can be avoided to cause knowing in the case of sampling error occurs Not mistake, improves recognition accuracy.Concrete, seeing Figure 22, described step S140g can To include:

S141g: the meansigma methods in response to described first fat information is believed less than described second fat The meansigma methods of breath, identifies that described first side is the inner side of described limbs；

S142g: the meansigma methods in response to described first fat information is believed more than described second fat The meansigma methods of breath, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that fat information and outside fat information determine.Concrete, see Figure 23, described Step S140g may include that

S141g ': the meansigma methods in response to described first fat information is less than described threshold value, identifies Described first side is the inner side of described limbs；

S142g ': the meansigma methods in response to described first fat information is more than described threshold value, identifies Described first side is not the inner side of described limbs.

Such as, the inner side fat information of described limbs and the outside fat of described limbs are gathered in advance Information, and analyze and process, it is assumed that the meansigma methods of described inner side fat information falls into the firstth district Between (I_min,I_max), it is assumed that it is interval that the meansigma methods of described outside fat information falls into second (O_min,O_max), then have I_max＜ O_min, then may determine that described threshold value is M, and And I_max＜ M ＜ O_min.It is to say, described threshold value M is described first interval and described A numerical value between second interval.

Therefore, if the meansigma methods of described first fat information is less than described threshold value M, then it is assumed that It falls into described first interval, and described first side is the inner side of described limbs；If described first The meansigma methods of fat information is more than described threshold value M, then it is assumed that it falls into described second interval, institute State the inner side that the first side is not described limbs, be i.e. the outside of described limbs.

Seeing Figure 24, in one embodiment, described method can also include:

S150: perform operation according to recognition result.

Such as, show that described first side is the inner side of described limbs according to recognition result, the most permissible Continue to gather the body-sensing signal of described user in described first side；If showing described first side not It is the inner side of described limbs, then can stop at described first side and gather the body-sensing letter of described user Number, and the body-sensing signal of described user is gathered in the second side relative with described first side.Described Body-sensing signal include body skin conductance information, body temperature information, acid-base value information, PPG information, Humidity information, blood oxygenation information, fat information etc..

Assume that the inner side and outer side of the intelligent watch correspondence limbs that user wears is respectively provided with one group Described body-sensing sensor, such user is when wearing wrist-watch, it is not necessary to consider wearing mode, described Intelligent watch can be automatically stopped the body-sensing working sensor outside contact limbs, and ensures to contact limb The working sensor of internal side, thus improve Consumer's Experience.

Additionally, the embodiment of the present application also provides for a kind of computer-readable medium, it is included in and is performed The computer-readable instruction of below Shi Jinhang operation: perform in above-mentioned Fig. 1 illustrated embodiment Step S120 of method and the operation of S140.

To sum up, method described in the embodiment of the present application, can be according to the first side of user one limbs Whether the first side described in the first body-sensing information and a reference information identification is the inner side of described limbs, And corresponding operating can be performed according to recognition result, improve Consumer's Experience.

Figure 25 is the modular structure that the interior outside of limbs described in one embodiment of the invention identifies equipment Schematic diagram, in described limbs, outside identifies that equipment can be arranged at intelligence as a functional module In the Wearable device such as wrist strap, intelligent watch, the most also can be independent wearable as one Formula equipment is for user.As shown in figure 25, described equipment 2500 may include that

One first acquisition module 2510, for obtaining the one first of the first side of limbs of user Body-sensing information, described first side is inner side or the outside of described limbs；

One identification module 2520, for according to described first body-sensing information and a reference information, knows Whether the most described first side is the inner side of described limbs.

Equipment described in the embodiment of the present application, obtains the first body-sensing of the first side of limbs of user Information, and then according to the first side described in described first body-sensing information and a reference information identification whether It is the inner side of described limbs, thus in providing a kind of limbs, outside identifies equipment, be conducive to using The Wearable device at family is arranged automatically according to recognition result, promotes Consumer's Experience.

Below with reference to detailed description of the invention, describe described first acquisition module 2510 He in detail The function of identification module 2520.

Described first acquisition module 2510, for obtaining the one the of the first side of limbs of user One body-sensing information, described first side is inner side or the outside of described limbs.

Described identification module 2520, is used for according to described first body-sensing information and a reference information, Identify that whether described first side is the inner side of described limbs.

A) described first body-sensing information can be the skin conductance information of described first side, i.e. One skin conductance information.Described identification module 2520 can be according to described first skin conductivity letter Breath and a reference information, identify that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side The Second Skin conduction information that the second relative side obtains.See Figure 26, described equipment 2500 Can also include:

One second acquisition module 2530a, for relative with described first side on described limbs Second side obtains a Second Skin conduction information as described reference information.

In present embodiment, described identification module 2520 can be by relatively described first skin The size of the meansigma methods of the meansigma methods of conduction information and described Second Skin conduction information, identifies institute Stating the inner side whether the first side is described limbs, concrete, described identification module 2520 is permissible Conduct electricity more than described Second Skin for the meansigma methods in response to described first skin conductance information The meansigma methods of information, identifies that described first side is the inner side of described limbs；And, in response to institute State the meansigma methods meansigma methods less than described Second Skin conduction information of the first skin conductance information, Identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that skin conductance information and lateral cutaneous conduction information determine.Concrete, see figure 27, described equipment 2500 may include that

One determines module 2540a, conducts electricity information with outer for the inside skin according to described limbs Side skin conductance information determines that a threshold value is as described reference information.

Described identification module 2520 may be used for putting down in response to described first skin conductance information Average is more than described threshold value, identifies that described first side is the inner side of described limbs；And, response Meansigma methods in described first skin conductance information is less than described threshold value, identifies described first side not It it is the inner side of described limbs.

Such as, described determine that module 2540a can gather the inside skin of described limbs in advance and lead The lateral cutaneous conduction information of electrical information and described limbs, and analyze and process, it is assumed that described The meansigma methods of inside skin conduction information falls into the first interval (I_min,I_max), it is assumed that outside described The meansigma methods of side skin conductance information falls into the second interval (O_min,O_max), then have O_max＜ I_min, then may determine that described threshold value is M, and O_max＜ M ＜ I_min.It is to say, Described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first skin conductance information is more than described threshold value M, then Described identification module 2520 thinks that it falls into described first interval, and described first side is described limb The inner side of body；If the meansigma methods of described first skin conductance information is less than described threshold value M, then Thinking that it falls into described second interval, described first side is not the inner side of described limbs, is i.e. institute State the outside of limbs.

B) described first body-sensing information can be the body temperature information of described first side, the i.e. first body temperature Information.Described identification module 2520 can according to described first body temperature information and a reference information, Identify that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side One second body temperature information that the second relative side obtains.Seeing Figure 28, described equipment 2500 is also May include that

One second acquisition module 2530b, for relative with described first side on described limbs Second side obtains one second body temperature information as described reference information.

In present embodiment, described identification module 2520 can be by relatively described first body temperature The meansigma methods of information and the size of the meansigma methods of described second body temperature information, identify described first side It it is whether the inner side of described limbs.The meansigma methods of described first body temperature information is described first body temperature In information, the meansigma methods of the temperature value that multiple sampled points are corresponding, similar, described second body temperature letter The meansigma methods of breath is the average of the temperature value that in described second body temperature information, multiple sampled points are corresponding Value.By using meansigma methods, can avoid single sampled point in the case of sampling error occurs Cause identifying mistake, improve recognition accuracy.Concrete, described identification module 2520 is permissible Meansigma methods in response to described first body temperature information is more than the meansigma methods of described second body temperature information, Identify that described first side is the inner side of described limbs；And, in response to described first body temperature information Meansigma methods less than the meansigma methods of described second body temperature information, identify that described first side is not described The inner side of limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that body temperature information and outside body temperature information determine.Concrete, see Figure 29, described Equipment 2500 may include that

One determines module 2540b, for the inner side body temperature information according to described limbs and outer lateral body The threshold value that temperature information determines is as described reference information.

Described identification module 2520 can be more than in response to the meansigma methods of described first body temperature information Described threshold value, identifies that described first side is the inner side of described limbs；And, in response to described The meansigma methods of one body temperature information is less than described threshold value, identifies that described first side is not described limbs Inner side.

Such as, the described inner side body temperature letter determining that module 2540b can gather described limbs in advance Breath and the outside body temperature information of described limbs, and analyze and process, it is assumed that described inner side body temperature The meansigma methods of information falls into the first interval (I_min,I_max), it is assumed that described outside body temperature information Meansigma methods falls into the second interval (O_min,O_max), then have O_max＜ I_min, then may determine that Described threshold value is M, and O_max＜ M ＜ I_min.It is to say, described threshold value M is institute State a numerical value between the first interval and described second interval.

Therefore, if the meansigma methods of described first body temperature information is more than described threshold value M, then described Identification module 2520 thinks that it falls into described first interval, and described first side is described limbs Inner side；If the meansigma methods of described first body temperature information is less than described threshold value M, then it is assumed that it falls Entering described second interval, described first side is not the inner side of described limbs, is i.e. described limbs Outside.

If it should be noted that outside identifies that equipment 2500 contacts institute in described limbs simultaneously State the inner side and outer side of limbs, and there is the conduction of heat by described equipment, the most described first body The acquisition time of temperature information and described second body temperature information should be from wearing described equipment Complete in one scheduled time, i.e. should be at t described in Fig. 6₁Completed before moment, to avoid two strips Temperature curve fusion causes identifying mistake.

C) described first body-sensing information can be the acid-base value information of described first side, i.e. first Acid-base value information.Described identification module 2520 can be according to described first acid-base value information and one Reference information, identifies that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side The one second acid-base value information that the second relative side obtains.See Figure 30, described equipment 2500 Can also include:

One second acquisition module 2530c, for relative with described first side on described limbs Second side obtains one second acid-base value information as described reference information.

In present embodiment, described identification module 2520 can be by relatively described first soda acid The meansigma methods of degree information and the size of the meansigma methods of described second acid-base value information, identify described Whether side is the inner side of described limbs.The meansigma methods of described first acid-base value information is described In one acid-base value information, the meansigma methods of the pH value that multiple sampled points are corresponding, similar, and described The meansigma methods of two acid-base value information is that in described second acid-base value information, multiple sampled points are corresponding The meansigma methods of pH value.By using meansigma methods, can avoid single sampled point that sampling is occurring Cause in the case of error identifying mistake, improve recognition accuracy.Concrete, described identification mould Block 2520 can be in response to the meansigma methods of described first acid-base value information less than described second soda acid The meansigma methods of degree information, identifies that described first side is the inner side of described limbs；And, in response to The meansigma methods of described first acid-base value information, more than the meansigma methods of described second acid-base value information, is known The most described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that acid-base value information and outside acid-base value information determine.Concrete, see Figure 31, Described equipment 2500 may include that

One determines module 2540c, for the inner side acid-base value information according to described limbs and outside The threshold value that acid-base value information determines is as described reference information.

Described identification module 2520 can be little in response to the meansigma methods of described first acid-base value information In described threshold value, identify that described first side is the inner side of described limbs；And, in response to described The meansigma methods of the first acid-base value information is more than described threshold value, identifies that described first side is not described limb The inner side of body.

Such as, the described inner side acid-base value determining that module 2540c can gather described limbs in advance The outside acid-base value information of information and described limbs, and analyze and process, it is assumed that described inner side The meansigma methods of acid-base value information falls into the first interval (I_min,I_max), it is assumed that described outside soda acid The meansigma methods of degree information falls into the second interval (O_min,O_max), then have I_max＜ O_min, Then may determine that described threshold value is M, and I_max＜ M ＜ O_min.It is to say, described threshold Value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first acid-base value information is more than described threshold value M, then institute Stating identification module 2520 and think that it falls into described second interval, described first side is described limbs Outside；If the meansigma methods of described first acid-base value information is less than described threshold value M, then it is assumed that It falls into described first interval, and described first side is not the outside of described limbs, is i.e. described limb The inner side of body.

D) described first body-sensing information can be the PPG information of described first side, the i.e. the oneth PPG Information.A described PPG information can use reflection mode or transmission mode to obtain.Adopt When using reflection mode, corresponding PPG sensor can be arranged on the first side of described limbs Obtain；When using transmission mode, the detection signal that the transmitting terminal of corresponding PPG sensor sends Receiving through the first receiving end, rear flank of described limbs, described detection signal is without with described The second side that first side is relative.Described identification module 2520 can be according to a described PPG letter Breath and a reference information, identify that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side One the 2nd PPG information that the second relative side obtains.See Figure 32, described equipment 2500 Can also include:

One second acquisition module 2530d, for relative with described first side on described limbs Second side obtains one the 2nd PPG information as described reference information.

In present embodiment, described identification module 2520 can be by a relatively described PPG The averaged amplitude value of information and the size of the averaged amplitude value of described 2nd PPG information, identify Whether described first side is the inner side of described limbs.The average amplitude of a described PPG information Value is the meansigma methods of the PPG range value that multiple sampled points are corresponding in a described PPG information, Being similar to, the averaged amplitude value of described 2nd PPG information is many in described 2nd PPG information The meansigma methods of the PPG range value that individual sampled point is corresponding.By using meansigma methods, can avoid Single sampled point causes identifying mistake in the case of there is sampling error, improves recognition accuracy. Concrete, described identification module 2520 can be in response to the average width of a described PPG information Angle value, more than the averaged amplitude value of described 2nd PPG information, identifies that described first side is described The inner side of limbs；And, the averaged amplitude value in response to a described PPG information is less than institute State the averaged amplitude value of the 2nd PPG information, identify that described first side is not the interior of described limbs Side.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that PPG information and outside P PG information determine.Concrete, see Figure 33, equipment 2500 may include that

One determines module 2540d, for the inner side PPG information according to described limbs and outside The threshold value that PPG information determines is as described reference information.

Described identification module 2520 can be in response to the averaged amplitude value of a described PPG information More than described threshold value, identify that described first side is the inner side of described limbs；And, in response to institute The averaged amplitude value stating a PPG information is less than described threshold value, identifies that described first side is not The inner side of described limbs.

Such as, the described inner side PPG letter determining that module 2540d can gather described limbs in advance Breath and the outside P PG information of described limbs, and analyze and process, it is assumed that described inner side PPG The averaged amplitude value of information falls into the first interval (I_min,I_max), it is assumed that described outside P PG is believed The averaged amplitude value of breath falls into the second interval (O_min,O_max), then have O_max＜ I_min, then May determine that described threshold value is M, and O_max＜ M ＜ I_min.It is to say, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the averaged amplitude value of a described PPG information is more than described threshold value M, The most described identification module 2520 thinks that it falls into described first interval, and described first side is described The inner side of limbs；If the averaged amplitude value of a described PPG information is less than described threshold value M, Then thinking that it falls into described second interval, described first side is not the inner side of described limbs, is i.e. The outside of described limbs.

E) described first body-sensing information can be the humidity information of described first side, the i.e. first humidity Information.Described identification module 2520 can according to described first humidity information and a reference information, Identify that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side One second humidity information that the second relative side obtains.Seeing Figure 34, described equipment 2500 is also May include that

One second acquisition module 2530e, for relative with described first side on described limbs Second side obtains one second humidity information as described reference information.

In present embodiment, described identification module 2520 can be by relatively described first humidity The meansigma methods of information and the size of the meansigma methods of described second humidity information, identify described first side It it is whether the inner side of described limbs.The meansigma methods of described first humidity information is described first humidity In information, the meansigma methods of the humidity value that multiple sampled points are corresponding, similar, described second humidity letter The meansigma methods of breath is the average of the humidity value that in described second humidity information, multiple sampled points are corresponding Value.By using meansigma methods, can avoid single sampled point in the case of sampling error occurs Cause identifying mistake, improve recognition accuracy.Concrete, described identification module 2520 is permissible Meansigma methods in response to described first humidity information is more than the meansigma methods of described second humidity information, Identify that described first side is the inner side of described limbs；And, in response to described first humidity information Meansigma methods less than the meansigma methods of described second humidity information, identify that described first side is not described The inner side of limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that humidity information and outside humidity information determine.Concrete, see Figure 35, described Equipment 2500 may include that

One determines module 2540e, wet for inner side humidity information and the outside according to described limbs The threshold value that degree information determines is as described reference information.

Described identification module 2520 can be more than in response to the meansigma methods of described first humidity information Described threshold value, identifies that described first side is the inner side of described limbs；And, in response to described The meansigma methods of one humidity information is less than described threshold value, identifies that described first side is not described limbs Inner side.

Such as, the described inner side humidity letter determining that module 2540b can gather described limbs in advance Breath and the outside humidity information of described limbs, and analyze and process, it is assumed that described inner side humidity The meansigma methods of information falls into the first interval (I_min,I_max), it is assumed that described outside humidity information Meansigma methods falls into the second interval (O_min,O_max), then have O_max＜ I_min, then may determine that Described threshold value is M, and O_max＜ M ＜ I_min.It is to say, described threshold value M is institute State a numerical value between the first interval and described second interval.

Therefore, if the meansigma methods of described first humidity information is more than described threshold value M, then described Identification module 2520 thinks that it falls into described first interval, and described first side is described limbs Inner side；If the meansigma methods of described first humidity information is less than described threshold value M, then it is assumed that it falls Entering described second interval, described first side is not the inner side of described limbs, is i.e. described limbs Outside.

F) described first body-sensing information can be the blood oxygenation information of described first side, the i.e. first blood oxygen Information.Described blood oxygenation information can be blood oxygen saturation, and it can use reflection mode or thoroughly The mode of penetrating obtains.Such as, when using reflection mode to obtain described first blood oxygenation information, can be by Corresponding blood oxygen transducer is arranged on the first side of described limbs and obtains；Employing transmission mode obtains During described first blood oxygenation information, the detection signal that the transmitting terminal of corresponding blood oxygen transducer sends passes through First receiving end, rear flank of described limbs receives, and described detection signal is without with described first The second side that side is relative.Described identification module 2520 can according to described first blood oxygenation information and One reference information, identifies that whether described first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side One second blood oxygenation information that the second relative side obtains.Seeing Figure 36, described equipment 2500 is also May include that

One second acquisition module 2530f, for relative with described first side on described limbs Second side obtains one second blood oxygenation information as described reference information.

In present embodiment, described identification module 2520 can be by relatively described first blood oxygen The meansigma methods of information and the size of the meansigma methods of described second blood oxygenation information, identify described first side It it is whether the inner side of described limbs.The meansigma methods of described first blood oxygenation information is described first blood oxygen In information, the meansigma methods of the blood oxygen saturation that multiple sampled points are corresponding, similar, described second blood The meansigma methods of oxygen information is the blood oxygen saturation that in described second blood oxygenation information, multiple sampled points are corresponding The meansigma methods of degree.By using meansigma methods, can avoid single sampled point that sampling error is occurring In the case of cause identify mistake, improve recognition accuracy.Concrete, described identification module 2520 can be in response to the meansigma methods of described first blood oxygenation information more than described second blood oxygenation information Meansigma methods, identify that described first side is the inner side of described limbs；And, in response to described The meansigma methods of one blood oxygenation information, less than the meansigma methods of described second blood oxygenation information, identifies described first Side is not the inner side of described limbs.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that blood oxygenation information and outside blood oxygenation information determine.Concrete, see Figure 37, described Equipment 2500 can also include:

One determines module 2540f, for the inner side blood oxygenation information according to described limbs and outside blood The threshold value that oxygen information determines is as described reference information.

Described identification module 2520 can be more than in response to the meansigma methods of described first blood oxygenation information Described threshold value, identifies that described first side is the inner side of described limbs；And, in response to described The meansigma methods of one blood oxygenation information is less than described threshold value, identifies that described first side is not described limbs Inner side.

Such as, the described inner side blood oxygen letter determining that module 2540f can gather described limbs in advance Breath and the outside blood oxygenation information of described limbs, and analyze and process, it is assumed that described inner side blood oxygen The meansigma methods of information falls into the first interval (I_min,I_max), it is assumed that described outside blood oxygenation information Meansigma methods falls into the second interval (O_min,O_max), then have O_max＜ I_min, then may determine that Described threshold value is M, and O_max＜ M ＜ I_min.It is to say, described threshold value M is institute State a numerical value between the first interval and described second interval.

Therefore, if the meansigma methods of described first blood oxygenation information is more than described threshold value M, then described Identification module 2520 thinks that it falls into described first interval, and described first side is described limbs Inner side；If the meansigma methods of described first blood oxygenation information is less than described threshold value M, then it is assumed that it falls Entering described second interval, described first side is not the inner side of described limbs, is i.e. described limbs Outside.

G) described first body-sensing information can be the fatty information of described first side, the i.e. first fat Information.Described fat information can be fat percentage, and such as, described first fat information can be Corresponding fats measurement sensor measures, in the first side of described limbs, the fat percentage obtained.Described Identification module 2520 can identify described according to described first fat information and a reference information Whether the first side is the inner side of described limbs.

In one embodiment, described reference information be on described limbs with described first side The one second fat information that the second relative side obtains.Seeing Figure 38, described equipment 2500 is also May include that

One second acquisition module 2530g, for relative with described first side on described limbs Second side obtains one second fat information as described reference information.

In present embodiment, described identification module 2520 can be by the most described first fat The meansigma methods of information and the size of the meansigma methods of described second fat information, identify described first side It it is whether the inner side of described limbs.The meansigma methods of described first fat information is described first fat In information, the meansigma methods of the fat percentage that multiple sampled points are corresponding, similar, described second fat letter The meansigma methods of breath is the average of the fat percentage that in described second fat information, multiple sampled points are corresponding Value.By using meansigma methods, can avoid single sampled point in the case of sampling error occurs Cause identifying mistake, improve recognition accuracy.Concrete, described identification module can be in response to The meansigma methods of described first fat information, less than the meansigma methods of described second fat information, identifies institute State the inner side that the first side is described limbs；And, in response to described first fat information average Value, more than the meansigma methods of described second fat information, identifies that described first side is not described limbs Inner side.

In another embodiment, described reference information can be the inner side according to described limbs The threshold value that fat information and outside fat information determine.Concrete, see Figure 39, described Equipment 2500 may include that

One determines module 2540g, for the inner side fat information according to described limbs and outside fat The threshold value that fat information determines is as described reference information.

Described identification module 2520 can be less than in response to the meansigma methods of described first fat information Described threshold value, identifies that described first side is the inner side of described limbs；And, in response to described The meansigma methods of one fat information, more than described threshold value, identifies that described first side is not described limbs Inner side.

Such as, the described inner side fat letter determining that module 2540g can gather described limbs in advance Breath and the outside fat information of described limbs, and analyze and process, it is assumed that described inner side fat The meansigma methods of information falls into the first interval (I_min,I_max), it is assumed that described outside fat information Meansigma methods falls into the second interval (O_min,O_max), then have I_max＜ O_min, then can be true Fixed described threshold value is M, and I_max＜ M ＜ O_min.It is to say, described threshold value M is A numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first fat information is less than described threshold value M, then described Identification module 2520 thinks that it falls into described first interval, and described first side is described limbs Inner side；If the meansigma methods of described first fat information is more than described threshold value M, then it is assumed that it falls Entering described second interval, described first side is not the inner side of described limbs, is i.e. described limbs Outside.

Seeing Figure 40, in one embodiment, described equipment 2500 can also include:

One performs module 2550, for performing operation according to recognition result.

Such as, show that described first side is the inner side of described limbs according to recognition result, then described Execution module 2550 can control described equipment 2500 and continue to gather described use in described first side The body-sensing signal at family；If showing that described first side is not the inner side of described limbs, then can control Make described equipment 2500 stop at described first side gather described user body-sensing signal, and Second side relative with described first side gathers the body-sensing signal of described user.

In limbs described in another embodiment of the application, outside identifies the hardware configuration such as figure of equipment Shown in 41.The application specific embodiment does not identify the concrete of equipment to outside in described limbs Realization limits, and sees Figure 41, and described equipment 4100 may include that

Processor (processor) 4110, communication interface (Communications Interface) 4120, Memorizer (memory) 4130, and communication bus 4140.Wherein:

Processor 4110, communication interface 4120, and memorizer 4130 passes through communication bus 4140 complete mutual communication.

Communication interface 4120, is used for and other net element communications.

Processor 4110, is used for the program that performs 4132, specifically can perform shown in above-mentioned Fig. 1 Embodiment of the method in correlation step.

Specifically, program 4132 can include that program code, described program code include calculating Machine operational order.

Processor 4110 is probably a central processor CPU, or specific integrated circuit ASIC (Application Specific Integrated Circuit), or be configured to implement One or more integrated circuits of the embodiment of the present application.

Memorizer 4130, is used for program of depositing 4132.Memorizer 4130 may comprise at a high speed RAM memory, it is also possible to also include nonvolatile memory (non-volatile memory), For example, at least one disk memory.Program 4132 specifically can perform following steps:

In program 4132, each step implements the corresponding step that may refer in above-described embodiment Rapid or module, is not repeated herein.Those skilled in the art it can be understood that arrive, for The convenience that describes and succinct, the equipment of foregoing description and the specific works process of module, Ke Yican State the corresponding process in embodiment of the method before examination to describe, do not repeat them here.

Those of ordinary skill in the art are it is to be appreciated that combine the embodiments described herein and retouch The unit of each example stated and method step, it is possible to electronic hardware or computer software and Being implemented in combination in of electronic hardware.These functions perform with hardware or software mode actually, Depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can be to often Individual specifically should being used for uses different methods to realize described function, but this realization is not It is considered as beyond scope of the present application.

If described function realizes and as independent product pin using the form of SFU software functional unit When selling or use, can be stored in a computer read/write memory medium.Based on such Understand, part that prior art is contributed by the technical scheme of the application the most in other words or The part of this technical scheme of person can embody with the form of software product, this computer software Product is stored in a storage medium, including some instructions with so that a computer equipment (can be personal computer, controller, or the network equipment etc.) performs the application, and each is real Execute all or part of step of method described in example.And aforesaid storage medium includes: USB flash disk, shifting Dynamic hard disk, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.

Embodiment of above is merely to illustrate the application, and not restriction to the application, relevant The those of ordinary skill of technical field, in the case of without departing from spirit and scope, Can also make a variety of changes and modification, the technical scheme of the most all equivalents falls within the application Category, the scope of patent protection of the application should be defined by the claims.

Claims

1. outside recognition methods in limbs, it is characterised in that described method includes:

2. the method for claim 1, it is characterised in that described reference information be One second blood oxygenation information that the second side relative with described first side on described limbs obtains.

3. method as claimed in claim 2, it is characterised in that described according to described first Blood oxygenation information and a reference information, identify that whether described first side is that the inner side of described limbs includes:

By the meansigma methods of relatively described first blood oxygenation information and putting down of described second blood oxygenation information The size of average, identifies that whether described first side is the inner side of described limbs.

4. method as claimed in claim 3, it is characterised in that described by the most described The meansigma methods of the first blood oxygenation information and the size of the meansigma methods of described second blood oxygenation information, identify institute State the inner side whether the first side is described limbs to include:

Meansigma methods putting down more than described second blood oxygenation information in response to described first blood oxygenation information Average, identifies that described first side is the inner side of described limbs；

Meansigma methods putting down less than described second blood oxygenation information in response to described first blood oxygenation information Average, identifies that described first side is not the inner side of described limbs.

5. the method for claim 1, it is characterised in that described reference information is root The threshold value determined according to inner side blood oxygenation information and the outside blood oxygenation information of described limbs.

6. method as claimed in claim 5, it is characterised in that described according to described first Blood oxygenation information and a reference information, identify that whether described first side is that the inner side of described limbs includes:

Meansigma methods in response to described first blood oxygenation information is more than described threshold value, identifies described first Side is the inner side of described limbs；

Meansigma methods in response to described first blood oxygenation information is less than described threshold value, identifies described first Side is not the inner side of described limbs.

7. the method as described in any one of claim 1 to 6, it is characterised in that described side Method also includes:

Operation is performed according to recognition result.

8. method as claimed in claim 7, it is characterised in that described according to recognition result Execution operation includes:

It is the inner side of described limbs in response to described first side, continues to gather institute in described first side State the body-sensing signal of user.

9. in limbs, outside identifies equipment, it is characterised in that described equipment includes:

10. equipment as claimed in claim 9, it is characterised in that described equipment also includes:

One second acquisition module, for the second side relative with described first side on described limbs Obtain one second blood oxygenation information as described reference information.

11. equipment as claimed in claim 10, it is characterised in that described identification module, For by comparing the meansigma methods of described first blood oxygenation information and the flat of described second blood oxygenation information The size of average, identifies that whether described first side is the inner side of described limbs.

12. equipment as claimed in claim 11, it is characterised in that described identification module, For meansigma methods the putting down more than described second blood oxygenation information in response to described first blood oxygenation information Average, identifies that described first side is the inner side of described limbs；And

13. equipment as claimed in claim 9, it is characterised in that described equipment also includes:

One determines module, for the inner side blood oxygenation information according to described limbs and outside blood oxygenation information Determine that a threshold value is as described reference information.

14. equipment as claimed in claim 13, it is characterised in that described identification module, For the meansigma methods in response to described first blood oxygenation information more than described threshold value, identify described first Side is the inner side of described limbs；And

15. equipment as described in any one of claim 9 to 14, it is characterised in that described Equipment also includes:

One performs module, for performing operation according to recognition result.

16. equipment as claimed in claim 15, it is characterised in that described execution module, For in response to described first side being the inner side of described limbs, continue to gather institute in described first side State the body-sensing information of user.

17. equipment as claimed in claim 9, it is characterised in that described equipment is one can to wear Wear formula equipment.