CN104224122A

CN104224122A - Recognition method and equipment for inner or outer side of limb

Info

Publication number: CN104224122A
Application number: CN201410468521.XA
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: 2014-12-24
Anticipated expiration: 2034-09-15
Also published as: CN104224122B

Abstract

The invention provides a recognition method and equipment for the inner or outer side of a limb, and relates to the field of wearable equipment. The method comprises the following steps: acquiring a piece of first fat information of a first side of a limb of a user, wherein the first side is the inner side or outer side of the limb; recognizing whether the first side is the inner side of the limb according to the first fat information and a piece of reference information. The method and the device are beneficial to automatic setting of the equipment worn by the user according to the recognition result, so that the user experience is improved.

Description

Outside recognition methods and equipment in limbs

Technical field

The application relates to Wearable device field, particularly relates to outside recognition methods and equipment in a kind of limbs.

Background technology

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

The body propagated sensation sensor that intelligent watch configures, can to the body sense data of user as fat, heart rate and blood glucose etc. be monitored, continuously to provide health care service to user.This body propagated sensation sensor or be embedded in the back side of dial plate, be embedded in the inner face of watchband, according to measuring principle, the inner face that this type of body propagated sensation sensor must be close to user's wrist just can accurately measure the body sense data of user, this just causes user must wear intelligent watch in a fixed manner, brings inconvenience to user.Such as, if body propagated sensation sensor is embedded in the inner face of watchband, then user must be worn on the dial plate of intelligent watch the outside of wrist, and this can make troubles to the user getting used to dial plate to be worn on wrist inner face.

Summary of the invention

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

According to an aspect of at least one embodiment of the application, provide outside recognition methods in a kind of limbs, described method comprises:

Obtain one first fatty 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 fatty information and a reference information, identify that whether described first side is the inner side of described limbs.

According to another aspect of at least one embodiment of the application, provide outside identification equipment in a kind of limbs, described equipment comprises:

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

One identification module, for according to described first fatty information and a reference information, identifies that whether described first side is the inner side of described limbs.

According to another aspect of at least one embodiment of the application, provide outside recognition methods in a kind of limbs, described method comprises:

Obtain one first body sense 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 body sense information and a reference information, identify that whether described first side is the inner side of described limbs.

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

One identification module, for according to described first body sense information and a reference information, identifies that whether described first side is the inner side of described limbs.

Outside recognition methods and equipment in limbs described in the embodiment of the present application, obtain the first fatty information of the first side of limbs of user, and then whether the first side is the inner side of described limbs according to described first fatty information and a reference information identification, thus provide outside recognition methods in a kind of limbs, the Wearable device being conducive to user carries out Lookup protocol according to recognition result, promotes Consumer's Experience.

Accompanying drawing explanation

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

Fig. 2 be in the application's embodiment inside wrist and palm inside schematic diagram;

Fig. 3 is the contrast schematic diagram of the skin conductivity information in outside in wrist in the application's embodiment;

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

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

Fig. 6 is the contrast schematic diagram of the temperature information in outside in wrist in the application's embodiment;

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

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

Fig. 9 is the contrast schematic diagram of the acid-base value information in outside in wrist in the application's embodiment;

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

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

Figure 12 is the contrast schematic diagram of the PPG information in outside in wrist in the application's embodiment;

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

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

Figure 15 is the contrast schematic diagram of the humidity information in outside in wrist in the application's embodiment;

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

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

Figure 18 is the contrast schematic diagram of the blood oxygen information in outside in wrist in the application's embodiment;

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

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

Figure 21 is the contrast schematic diagram of the fatty information in outside in wrist in the application's embodiment;

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

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

Figure 24 is the flow chart of outside recognition methods in limbs in the application's embodiment;

Figure 25 is the function structure chart of outside identification equipment in limbs described in the application's embodiment;

Figure 26 is the function structure chart of outside identification equipment in limbs described in the application's embodiment;

Figure 27 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 28 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 29 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 30 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 31 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 32 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 33 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 34 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 35 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 36 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 37 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 38 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 39 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 40 is the function structure chart of outside identification equipment in limbs described in another embodiment of the application;

Figure 41 is the hardware configuration schematic diagram of outside identification equipment in limbs described in the application's embodiment.

Detailed description of the invention

Below in conjunction with drawings and Examples, the detailed description of the invention of the application is described in further detail.Following examples for illustration of the application, but are not used for limiting the scope of the application.

Those skilled in the art understand, in the embodiment of the application, the size of the sequence number of following each step does not also mean that the priority of execution sequence, and the execution sequence of each step should be determined with its function and internal logic, and should not form any restriction to the implementation process of the embodiment of the present application.

Fig. 1 is the flow chart of outside recognition methods in limbs described in the application's embodiment, and described method in such as limbs, outside identification equipment can realize.As shown in Figure 1, described method comprises:

S120: the one first body sense information obtaining the first side of limbs of user, described first side is inner side or the outside of described limbs;

S140: according to described first body sense information and a reference information, identifies that whether described first side is the inner side of described limbs.

Method described in the embodiment of the present application, obtain the first body sense information of the first side of limbs of user, and then whether the first side is the inner side of described limbs according to described first body sense information and a reference information identification, thus provide outside recognition methods in a kind of limbs, the Wearable device being conducive to user carries out Lookup protocol according to recognition result, promotes Consumer's Experience.

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

S120: the one first body sense information obtaining the first side of limbs of user, described first side is inner side or the outside of described limbs.

Wherein, described limbs can comprise upper limb, the lower limb of described user.Concrete, the inner side of described limbs can be the inner side of wrist, the inner side of palm, the inner side of sole, the outside of corresponding described limbs can the outside of wrist, the outside of palm, the outside of sole.As shown in Figure 2, the palm of the hand 220 and the finger region corresponding in the palm of the hand 220 side in the inner side of described palm and Fig. 2, the outside of palm and the back of the hand and the finger region corresponding in the back of the hand side; In the inner side of described wrist and Fig. 2 and the described palm of the hand 220 homonymy first area 210 between palm and forearm, the outside of wrist is relative with described first area 210, namely and described the back of the hand homonymy second area between palm and forearm.The inner side of described sole is the region that sole is corresponding, and 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 purpose of simple, be the inner side of described wrist or outside mainly with described first side be below that example is described.

Described first body sense information can be the skin conductivity information, body temperature information, acid-base value information, PPG information, humidity information, blood oxygen information, fatty information etc. of described limbs first side, it can by obtaining to the corresponding body propagated sensation sensor that user's skin contacts, current Intelligent spire lamella, intelligent watch etc. substantially all have these sensors, therefore, the enforcement of described method can not increase the hardware cost of existing Wearable.

A) described first body sense information can be the skin conductivity information of described first side, i.e. the first skin conductivity information.Described step S140 is:

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

Inventor finds under study for action, because the sweat gland quantity inside limbs is more than outside limbs, skin simultaneously outside limbs is than coarse inside limbs, skin conductance inside the limbs of user and the skin conductance outside limbs have marked difference statistically, and namely both variances are less than or equal to 0.05.As shown in Figure 3, the skin conductivity signal that upper curve represents inside to the wrist of a user is sampled the curve of the skin conductivity information obtained, and lower curve represents to sample to the extracarpal skin conductivity signal of the hands of described user and obtains the curve of skin conductivity information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents conductance, and unit is micro-west.Can see, two curves have significant difference, can obtain after analysis, and the meansigma methods of the skin conductivity information inside wrist is obviously greater than the meansigma methods of the extracarpal skin conductivity information of hands.Similar, the meansigma methods of the skin conductivity information that inventor also finds inside palm is obviously greater than the meansigma methods of the skin conductivity information outside palm, and the meansigma methods of skin conductivity information inside sole is obviously greater than the meansigma methods of the skin conductivity information outside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is that a Second Skin that the second side relative with described first side on described limbs obtains conducts electricity information.Such as, body propagated sensation sensor described in two groups can be set, gather corresponding skin conductivity information in the first side of described limbs and the second side simultaneously, and using the skin conductivity information in the second side collection as described reference information.

In present embodiment, described step S140a can by the size of the meansigma methods of the meansigma methods of more described first skin conductivity information and described Second Skin conduction information, identifies that whether described first side is the inner side of described limbs, concrete, as shown in Figure 4, it can comprise:

S141a: the meansigma methods in response to described first skin conductivity information is greater than the meansigma methods of described Second 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 conductivity information is less than the meansigma methods of described Second 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 threshold value determined according to inside skin conduction information and the lateral cutaneous conduction information of described limbs.Concrete, as shown in Figure 5, described step S140a can comprise:

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

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

Such as, gather the inside skin conduction information of described limbs and the lateral cutaneous conduction information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inside skin conduction information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described lateral cutaneous conduction information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, 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 conductivity information is greater than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the meansigma methods of described first skin conductivity information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

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

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

Inventor finds under study for action, and owing to comparing more near arteries outside limbs inside limbs, the body temperature inside the limbs of user can higher than the body temperature outside limbs.As shown in Figure 6, first curve 610 represents that employing first body temperature trans is sampled to the temperature signals inside the wrist of a user curve of the body temperature information obtained, and the second curve 620 represents that the extracarpal temperature signals of the hands of employing second body temperature trans to described user is sampled and obtains the curve of body temperature information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents temperature, and unit is degree Celsius, and 0 moment, corresponding described user started the time of wearing described first body temperature trans and described second body temperature trans.

Can see, in Fig. 6, two curves are at t ₁had significant difference before moment, can obtain after analysis, the body temperature inside wrist is obviously greater than the extracarpal body temperature of hands.At t ₁after moment, two curves merge gradually, and this body temperature being the conductive force of connecting portion owing to connecting described first body temperature trans and described second body temperature trans makes two sensors detect is tending towards identical.In another experiment, we eliminate the connecting portion in the middle of two body temperature transes, and the body temperature inside the temperature curve finally obtained display wrist is greater than the extracarpal body temperature value of hands always, and its temperature difference is about 0.2 DEG C.

Similar, inventor also finds that the body temperature inside palm is obviously greater than the body temperature outside palm, and the body temperature inside sole is obviously greater than the body temperature outside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is one second body temperature information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather 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 by the size of the meansigma methods of more described first body temperature information and the meansigma methods of described second body temperature information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first body temperature information is the meansigma methods of the temperature value that in described first body temperature information, multiple sampled point is corresponding, similar, and the meansigma methods of described second body temperature information is the meansigma methods of the temperature value that in described second body temperature information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Fig. 7, described step S140b can comprise:

S141b: the meansigma methods in response to described first body temperature information is greater than the meansigma methods of described second body temperature information, 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 less than the meansigma methods of described second body temperature information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side body temperature information and the outside body temperature information of described limbs.Concrete, see Fig. 8, described step S140b can comprise:

S141b ': the meansigma methods in response to described first body temperature information is greater than described threshold value, 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 less than described threshold value, identifies that described first side is not the inner side of described limbs.

Such as, gather the inner side body temperature information of described limbs and the outside body temperature information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inner side body temperature information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside body temperature information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first body temperature information is greater than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the meansigma methods of described first body temperature information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

It should be noted that, if outside identification equipment contacts the inner side and outer side of described limbs in described limbs simultaneously, and the conduction of heat existed by described equipment, then the acquisition time of described first body temperature information and described second body temperature information should completing within a scheduled time of wearing described equipment, namely should at t described in Fig. 6 ₁completed before moment, merge to avoid two strips temperature curve and cause identification error.

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

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

Inventor finds under study for action, because the sweat gland quantity inside limbs is more than outside limbs, and, the acid-base value (i.e. pH value) inside the limbs of user is significantly less than the acid-base value outside limbs.As shown in Figure 9, first curve 910 represents the curve of the acid-base value information obtained of sampling to the extracarpal acid-base value signal of the hands of a user, and the second curve 920 represents that the acid-base value signal inside to the wrist of described user is sampled and obtains the curve of acid-base value information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents acid-base value.

Can see, in Fig. 9, two curves are at t ₂had significant difference before moment, can obtain after analysis, the extracarpal acid-base value of hands is obviously greater than the acid-base value inside wrist.At t ₂after moment, two curves merge gradually, and this is the true environment for use due to this experimental simulation user, after wearing described limbs interior outside identification equipment a period of time, described limbs have perspiration to ooze out.In another experiment, we eliminate the impact (as tested in cold environment) that perspiration oozes out, and the extracarpal acid-base value of the acid-base value curve finally obtained display hands is greater than the pH value inside wrist always, and its difference is about 0.3 ~ 0.4.

Similar, inventor also finds that the acid-base value outside palm is obviously greater than the acid-base value inside palm, and the acid-base value outside sole is obviously greater than the acid-base value inside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is the one second acid-base value information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather 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 by the size of the meansigma methods of more described first acid-base value information and the meansigma methods of described second acid-base value information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first acid-base value information is the meansigma methods of the pH value that in described first acid-base value information, multiple sampled point is corresponding, similar, the meansigma methods of described second acid-base value information is the meansigma methods of the pH value that in described second acid-base value information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Figure 10, described step S140c can comprise:

S141c: the meansigma methods in response to described first acid-base value information is less than the meansigma methods of described second acid-base value 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 greater than the meansigma methods of described second acid-base value information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side acid-base value information and the outside acid-base value information of described limbs.Concrete, see Figure 11, described step S140c can comprise:

S141c ': the meansigma methods in response to described first acid-base value information is less than described threshold value, 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 greater than described threshold value, identifies that described first side is not the inner side of described limbs.

Such as, gather the inner side acid-base value information of described limbs and the outside acid-base value information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inner side acid-base value information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside acid-base value information falls into the second interval (O _min, O _max), then have I _max< O _min, then can determine that described threshold value is M, and I _max< M < O _min.That is, 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 greater than described threshold value M, then think that it falls into described second interval, described first side is the outside of described limbs; If the meansigma methods of described first acid-base value information is less than described threshold value M, then think that it falls into described first interval, described first side is not the outside of described limbs, is namely the inner side of described limbs.

It should be noted that, if outside identification equipment contacts the inner side and outer side of described limbs in described limbs, and there is the situation that contact portion has perspiration to ooze out, then the acquisition time of described first acid-base value information and described second acid-base value information should completing within a scheduled time of wearing described equipment, namely should at t described in Fig. 9 ₂completed before moment, namely completed before perspiration oozes out, merge to avoid two acid-base value curves and cause identification error.

D) described first body sense information can be the PPG information of described first side, i.e. a PPG information.A described PPG information can adopt reflection mode or transmission mode to obtain.When adopting reflection mode, first side of corresponding PPG sensor setting at described limbs can be obtained; When adopting transmission mode, the detection signal that the transmitting terminal of corresponding PPG sensor sends receives through the first receiving end, rear flank of described limbs, and described detection signal is without second side relative with described first side.

Described step S140 is:

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

Inventor finds under study for action, higher owing to comparing limbs lateral cutaneous light transmittance inside limbs, and the averaged amplitude value of the PPG information inside the limbs of user can higher than the averaged amplitude value of the PPG information outside limbs.As shown in figure 12, first curve 1210 represents that employing the one PPG sensor is sampled to the PPG signal inside the wrist of a user curve of the PPG information obtained, and the second curve 1220 represents that the extracarpal PPG signal of the hands of employing the 2nd PPG sensor to described user is sampled and obtains the curve of PPG information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents voltage amplitude value, and unit is volt.Can see, in Figure 12, two curves have significant difference, can obtain after analysis, and the averaged amplitude value of the PPG information inside wrist can higher than the averaged amplitude value of the extracarpal PPG information of hands.Wherein, the averaged amplitude value of described PPG information is the meansigma methods of multiple PPG range value.

Similar, the averaged amplitude value of the PPG information that inventor also finds inside palm is obviously greater than the averaged amplitude value of the PPG information outside palm, and the averaged amplitude value of PPG information inside sole is obviously greater than the averaged amplitude value of the PPG information outside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is one the 2nd PPG information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather 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 by the size of the averaged amplitude value of a more described PPG information and the averaged amplitude value of described 2nd PPG information, identifies that whether described 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 in a described PPG information, multiple sampled point is corresponding, similar, the averaged amplitude value of described 2nd PPG information is the meansigma methods of the PPG range value that in described 2nd PPG information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Figure 13, described step S140d can comprise:

S141d: the averaged amplitude value in response to a described PPG information is greater than the averaged amplitude value of described 2nd 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 the averaged amplitude value of described 2nd PPG information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side PPG information and the outside P PG information of described limbs.Concrete, see Figure 14, described step S140d can comprise:

S141d ': the averaged amplitude value in response to a described PPG information is greater than described threshold value, 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 threshold value, identifies that described first side is not the inner side of described limbs.

Such as, gather the inner side PPG information of described limbs and the outside P PG information of described limbs in advance, and carry out analyzing and processing, suppose that the averaged amplitude value of described inner side PPG information falls into the first interval (I _min, I _max), suppose that the averaged amplitude value of described outside P PG information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, 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 greater than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the averaged amplitude value of a described PPG information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

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

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

Inventor finds under study for action, and have more sweat gland owing to comparing inside limbs outside limbs, the humidity inside the limbs of user can higher than the humidity outside limbs.As shown in figure 15, first curve 1510 represents that employing first humidity sensor is sampled to the moisture signal inside the wrist of a user curve of the humidity information obtained, and the second curve 1520 represents that the extracarpal moisture signal of the hands of employing second humidity sensor to described user is sampled and obtains the curve of humidity information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents humidity.Can see, two curve displays in Figure 15, the humidity inside wrist is obviously greater than the extracarpal humidity of hands.

Similar, inventor also finds that the humidity inside palm is obviously greater than the humidity outside palm, and the humidity inside sole is obviously greater than the humidity outside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is one second humidity information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather 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 by the size of the meansigma methods of more described first humidity information and the meansigma methods of described second humidity information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first humidity information is the meansigma methods of the humidity value that in described first humidity information, multiple sampled point is corresponding, similar, and the meansigma methods of described second humidity information is the meansigma methods of the humidity value that in described second humidity information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Figure 16, described step S140e can comprise:

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

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

In another embodiment, described reference information can be the threshold value determined according to inner side humidity information and the outside humidity information of described limbs.Concrete, see Figure 17, described step S140e can comprise:

S141e ': the meansigma methods in response to described first humidity information is greater than described threshold value, identifies that 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 that described first side is not the inner side of described limbs.

Such as, gather the inner side humidity information of described limbs and the outside humidity information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inner side humidity information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside humidity information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first humidity information is greater than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the meansigma methods of described first humidity information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

F) described first body sense information can be the blood oxygen information of described first side, i.e. the first blood oxygen information.Described blood oxygen information can be blood oxygen saturation, and it can adopt reflection mode or transmission mode to obtain.Such as, when adopting reflection mode to obtain described first blood oxygen information, first side that corresponding blood oxygen transducer can be arranged on described limbs obtains; When adopting transmission mode to obtain described first blood oxygen information, the detection signal that the transmitting terminal of corresponding blood oxygen transducer sends receives through the first receiving end, rear flank of described limbs, and described detection signal is without second side relative with described first side.

Described step S140 is:

S140f: according to described first blood oxygen information and a reference information, identifies that whether described first side is the inner side of described limbs.

Inventor finds under study for action, and blood oxygen saturation is generally measure the absorbtivity of the light of different wave length according to blood in blood vessel.Because the vein blood vessel inside limbs is obviously more than limbs lateral vein blood vessel, arteries distribution is simultaneously darker, general middle part between limbs inner side and outer side, therefore, the meansigma methods of the blood oxygen information recorded inside the limbs of user can higher than the meansigma methods of the blood oxygen information recorded outside limbs.As shown in figure 18, first curve 1810 represents that employing first blood oxygen transducer is sampled to the blood oxygen signal inside the wrist of a user curve of the blood oxygen information obtained, and the second curve 1820 represents that the extracarpal blood oxygen signal of the hands of employing second blood oxygen transducer to described user is sampled and obtains the curve of blood oxygen information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents blood oxygen saturation.Can see, in Figure 18, two curves have significant difference, can obtain after analysis, and the meansigma methods of the blood oxygen information inside wrist can higher than the meansigma methods of hands extracarpal blood oxygen information.Wherein, the meansigma methods of described blood oxygen information is the meansigma methods of the blood oxygen saturation that multiple sampled point is corresponding.

Similar, the meansigma methods of the blood oxygen information that inventor also finds inside palm is obviously greater than the meansigma methods of the blood oxygen information outside palm, and the meansigma methods of blood oxygen information inside sole is obviously greater than the meansigma methods of the blood oxygen information outside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is the one second blood oxygen information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather corresponding blood oxygen information in the first side of described limbs and the second side simultaneously, and using the blood oxygen information in the second side collection as described reference information.

In present embodiment, described step S140f can by the size of the meansigma methods of more described first blood oxygen information and the meansigma methods of described second blood oxygen information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first blood oxygen information is the meansigma methods of the blood oxygen saturation that in described first blood oxygen information, multiple sampled point is corresponding, similar, the meansigma methods of described second blood oxygen information is the meansigma methods of the blood oxygen saturation that in described second blood oxygen information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Figure 19, described step S140f can comprise:

S141f: the meansigma methods in response to described first blood oxygen information is greater than the meansigma methods of described second blood oxygen information, identifies that described first side is the inner side of described limbs;

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

In another embodiment, described reference information can be the threshold value determined according to inner side blood oxygen information and the outside blood oxygen information of described limbs.Concrete, see Figure 20, described step S140f can comprise:

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

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

Such as, gather the inner side blood oxygen information of described limbs and the outside blood oxygen information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inner side blood oxygen information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside blood oxygen information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first blood oxygen information is greater than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the meansigma methods of described first blood oxygen information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

G) described first body sense information can be the fatty information of described first side, i.e. the first fatty information.Described fatty information can be fat percentage, and such as, described first fatty information can be that 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 fatty information and a reference information, identifies that whether described first side is the inner side of described limbs.

Inventor finds in research process, the content of body fat, and namely the method for the current main flow of fat percentage first measures bulk resistor, then infers the content of fat according to bulk resistor.The health water content of people is about 70%, and these moisture content overwhelming majority are present in blood, lean meat and internal organs, and in fat, water content is extremely low.In body, moisture content presents low resistance owing to being dissolved with various composition, and fat but presents high resistance, and thus in human body, the scale effect of fat and water is to the resistance of human body, if consideration is fatty and the combined resistance of moisture content, then fat more human body resistances value is higher.And the limbs of people, such as wrist, due to the result of natural evolution, the fat content in outside is higher than inner side.For wrist, outside wrist, high muscle and the arteries can protected of fat content is not easily injured; Meanwhile, the moisture inside wrist wants significant higher than outside wrist, this be due to wrist inside sweat gland quantity want significant higher than outside wrist.So comprehensive these two factors, the extracarpal fat percentage of hands is wanted significantly higher than the inner side of wrist.As shown in figure 21, first curve 2110 represents that employing first fats measurement sensor is sampled to the fat content inside the wrist of a user curve of the fatty information obtained, and the second curve 2120 represents that the extracarpal fat content of the hands of the fatty sensor of employing second to described user is sampled and obtains the curve of fatty information.Wherein, horizontal axis representing time, unit is second, and the longitudinal axis represents fat percentage.Can see, in Figure 21, two curves have significant difference, can obtain after analysis, and the meansigma methods of the extracarpal fatty information of hands can higher than the meansigma methods of the fatty information inside wrist.Wherein, the meansigma methods of described fatty information is the meansigma methods of the fat percentage that multiple sampled point is corresponding.

Similar, the meansigma methods of the fatty information that inventor also finds outside palm is obviously greater than the meansigma methods of the fatty information inside palm, and the meansigma methods of fatty information outside sole is obviously greater than the meansigma methods of the fatty information inside sole.Therefore, the identification to outside in limbs can be realized based on method described in this principle the application.

In one embodiment, described reference information is the one second fatty information that the second side relative with described first side on described limbs obtains.Such as, body propagated sensation sensor described in two groups can be set, gather corresponding fatty information in the first side of described limbs and the second side simultaneously, and using the fatty information in the second side collection as described reference information.

In present embodiment, described step S140g can by the size of the meansigma methods of more described first fatty information and the meansigma methods of described second fatty information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first fatty information is the meansigma methods of the fat percentage that in described first fatty information, multiple sampled point is corresponding, similar, and the meansigma methods of described second fatty information is the meansigma methods of the fat percentage that in described second fatty information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, see Figure 22, described step S140g can comprise:

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

S142g: the meansigma methods in response to described first fatty information is greater than the meansigma methods of described second fatty information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side fat information and the outside fat information of described limbs.Concrete, see Figure 23, described step S140g can comprise:

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

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

Such as, gather the inner side fat information of described limbs and the outside fat information of described limbs in advance, and carry out analyzing and processing, suppose that the meansigma methods of described inner side fat information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside fat information falls into the second interval (O _min, O _max), then have I _max< O _min, then can determine that described threshold value is M, and I _max< M < O _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first fatty information is less than described threshold value M, then think that it falls into described first interval, described first side is the inner side of described limbs; If the meansigma methods of described first fatty information is greater than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

See Figure 24, in one embodiment, described method can also comprise:

S150: according to recognition result executable operations.

Such as, be the inner side of described limbs according to described first side of recognition result display, then can continue the body sense signal gathering described user in described first side; If show the inner side that described first side is not described limbs, then can stop at the body sense signal that described first side gathers described user, and gather the body sense signal of described user in the second side relative with described first side.Described body sense signal comprises body skin conductivity information, body temperature information, acid-base value information, PPG information, humidity information, blood oxygen information, fatty information etc.

Suppose that the inner side and outer side of the corresponding limbs of intelligent watch that user wears arranges body propagated sensation sensor described in a group respectively, such user is when wearing wrist-watch, without the need to considering wearing mode, described intelligent watch can stop the body propagated sensation sense device working outside contact limbs automatically, and ensure the working sensor inside contact limbs, thus improve Consumer's Experience.

In addition, the embodiment of the present application also provides a kind of computer-readable medium, is included in the computer-readable instruction carrying out following operation when being performed: perform the step S120 of method in above-mentioned Fig. 1 illustrated embodiment and the operation of S140.

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

Figure 25 is the modular structure schematic diagram of outside identification equipment in limbs described in one embodiment of the invention, outside identification equipment can be arranged in the Wearable device such as Intelligent spire lamella, intelligent watch as a functional module in described limbs, certainly also can be used as one independently Wearable device for user.As shown in figure 25, described equipment 2500 can comprise:

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

One identification module 2520, for according to described first body sense information and a reference information, identifies that whether described first side is the inner side of described limbs.

Equipment described in the embodiment of the present application, obtain the first body sense information of the first side of limbs of user, and then whether the first side is the inner side of described limbs according to described first body sense information and a reference information identification, thus provide outside identification equipment in a kind of limbs, the Wearable device being conducive to user carries out Lookup protocol according to recognition result, promotes Consumer's Experience.

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

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

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

A) described first body sense information can be the skin conductivity information of described first side, i.e. the first skin conductivity information.Described identification module 2520 can according to described first skin conductivity information and a reference information, identifies that whether described first side is the inner side of described limbs.

In one embodiment, described reference information is that a Second Skin that the second side relative with described first side on described limbs obtains conducts electricity information.See Figure 26, described equipment 2500 can also comprise:

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

In present embodiment, described identification module 2520 can pass through the size of the meansigma methods of more described first skin conductivity information and the meansigma methods of described Second Skin conduction information, identify that whether described first side is the inner side of described limbs, concrete, described identification module 2520 may be used for the meansigma methods being greater than described Second Skin conduction information in response to the meansigma methods of described first skin conductivity information, identifies that described first side is the inner side of described limbs; And the meansigma methods in response to described first skin conductivity information is less than the meansigma methods of described Second 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 threshold value determined according to inside skin conduction information and the lateral cutaneous conduction information of described limbs.Concrete, see Figure 27, described equipment 2500 can comprise:

According to the inside skin of described limbs conduction information and lateral cutaneous conduction information, one determination module 2540a, for determining that a threshold value is as described reference information.

Described identification module 2520 may be used for being greater than described threshold value in response to the meansigma methods of described first skin conductivity information, identifies that described first side is the inner side of described limbs; And the meansigma methods in response to described first skin conductivity information is less than described threshold value, identify that described first side is not the inner side of described limbs.

Such as, described determination module 2540a can gather the inside skin conduction information of described limbs and the lateral cutaneous conduction information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inside skin conduction information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described lateral cutaneous conduction information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, 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 conductivity information is greater than described threshold value M, then described identification module 2520 thinks that it falls into described first interval, and described first side is the inner side of described limbs; If the meansigma methods of described first skin conductivity information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

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

In one embodiment, described reference information is one second body temperature information that the second side relative with described first side on described limbs obtains.See Figure 28, described equipment 2500 can also comprise:

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

In present embodiment, described identification module 2520 can by the size of the meansigma methods of more described first body temperature information and the meansigma methods of described second body temperature information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first body temperature information is the meansigma methods of the temperature value that in described first body temperature information, multiple sampled point is corresponding, similar, and the meansigma methods of described second body temperature information is the meansigma methods of the temperature value that in described second body temperature information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module 2520 can be greater than the meansigma methods of described second body temperature information in response to the meansigma methods of described first body temperature information, identify that described first side is the inner side of described limbs; And the meansigma methods in response to described first body temperature information is less than the meansigma methods of described second body temperature information, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side body temperature information and the outside body temperature information of described limbs.Concrete, see Figure 29, described equipment 2500 can comprise:

One determination module 2540b, for the threshold value determined according to inner side body temperature information and the outside body temperature information of described limbs as described reference information.

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

Such as, described determination module 2540b can gather the inner side body temperature information of described limbs and the outside body temperature information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inner side body temperature information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside body temperature information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first body temperature information is greater than described threshold value M, then described identification module 2520 thinks that it falls into described first interval, and described first side is the inner side of described limbs; If the meansigma methods of described first body temperature information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

It should be noted that, if outside identification equipment 2500 contacts the inner side and outer side of described limbs in described limbs simultaneously, and the conduction of heat existed by described equipment, then the acquisition time of described first body temperature information and described second body temperature information should completing within a scheduled time of wearing described equipment, namely should at t described in Fig. 6 ₁completed before moment, merge to avoid two strips temperature curve and cause identification error.

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

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

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

In present embodiment, described identification module 2520 can by the size of the meansigma methods of more described first acid-base value information and the meansigma methods of described second acid-base value information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first acid-base value information is the meansigma methods of the pH value that in described first acid-base value information, multiple sampled point is corresponding, similar, the meansigma methods of described second acid-base value information is the meansigma methods of the pH value that in described second acid-base value information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module 2520 can be less than the meansigma methods of described second acid-base value information in response to the meansigma methods of described first acid-base value information, identify that described first side is the inner side of described limbs; And the meansigma methods in response to described first acid-base value information is greater than the meansigma methods of described second acid-base value information, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side acid-base value information and the outside acid-base value information of described limbs.Concrete, see Figure 31, described equipment 2500 can comprise:

One determination module 2540c, for the threshold value determined according to inner side acid-base value information and the outside acid-base value information of described limbs as described reference information.

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

Such as, described determination module 2540c can gather the inner side acid-base value information of described limbs and the outside acid-base value information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inner side acid-base value information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside acid-base value information falls into the second interval (O _min, O _max), then have I _max< O _min, then can determine that described threshold value is M, and I _max< M < O _min.That is, 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 greater than described threshold value M, then described identification module 2520 thinks that it falls into described second interval, and described first side is the outside of described limbs; If the meansigma methods of described first acid-base value information is less than described threshold value M, then think that it falls into described first interval, described first side is not the outside of described limbs, is namely the inner side of described limbs.

D) described first body sense information can be the PPG information of described first side, i.e. a PPG information.A described PPG information can adopt reflection mode or transmission mode to obtain.When adopting reflection mode, first side of corresponding PPG sensor setting at described limbs can be obtained; When adopting transmission mode, the detection signal that the transmitting terminal of corresponding PPG sensor sends receives through the first receiving end, rear flank of described limbs, and described detection signal is without second side relative with described first side.Described identification module 2520 can according to a described PPG information and a reference information, identifies that whether described first side is the inner side of described limbs.

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

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

In present embodiment, described identification module 2520 can by the size of the averaged amplitude value of a more described PPG information and the averaged amplitude value of described 2nd PPG information, identifies that whether described 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 in a described PPG information, multiple sampled point is corresponding, similar, the averaged amplitude value of described 2nd PPG information is the meansigma methods of the PPG range value that in described 2nd PPG information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module 2520 can be greater than the averaged amplitude value of described 2nd PPG information in response to the averaged amplitude value of a described PPG information, identify that described first side is the inner side of described limbs; And the averaged amplitude value in response to a described PPG information is less than the averaged amplitude value of described 2nd PPG information, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side PPG information and the outside P PG information of described limbs.Concrete, see Figure 33, equipment 2500 can comprise:

One determination module 2540d, for the threshold value determined according to inner side PPG information and the outside P PG information of described limbs as described reference information.

Described identification module 2520 can be greater than described threshold value in response to the averaged amplitude value of a described PPG information, identifies that described first side is the inner side of described limbs; And 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, described determination module 2540d can gather the inner side PPG information of described limbs and the outside P PG information of described limbs in advance, and carries out analyzing and processing, supposes that the averaged amplitude value of described inner side PPG information falls into the first interval (I _min, I _max), suppose that the averaged amplitude value of described outside P PG information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, 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 greater than described threshold value M, then described identification module 2520 thinks that it falls into described first interval, and described first side is the inner side of described limbs; If the averaged amplitude value of a described PPG information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

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

In one embodiment, described reference information is one second humidity information that the second side relative with described first side on described limbs obtains.See Figure 34, described equipment 2500 can also comprise:

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

In present embodiment, described identification module 2520 can by the size of the meansigma methods of more described first humidity information and the meansigma methods of described second humidity information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first humidity information is the meansigma methods of the humidity value that in described first humidity information, multiple sampled point is corresponding, similar, and the meansigma methods of described second humidity information is the meansigma methods of the humidity value that in described second humidity information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module 2520 can be greater than the meansigma methods of described second humidity information in response to the meansigma methods of described first humidity information, identify that described first side is the inner side of described limbs; And the meansigma methods in response to described first humidity information is less than the meansigma methods of described second humidity information, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side humidity information and the outside humidity information of described limbs.Concrete, see Figure 35, described equipment 2500 can comprise:

One determination module 2540e, for the threshold value determined according to inner side humidity information and the outside humidity information of described limbs as described reference information.

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

Such as, described determination module 2540b can gather the inner side humidity information of described limbs and the outside humidity information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inner side humidity information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside humidity information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first humidity information is greater than described threshold value M, then described identification module 2520 thinks that it falls into described first interval, and described first side is the inner side of described limbs; If the meansigma methods of described first humidity information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

F) described first body sense information can be the blood oxygen information of described first side, i.e. the first blood oxygen information.Described blood oxygen information can be blood oxygen saturation, and it can adopt reflection mode or transmission mode to obtain.Such as, when adopting reflection mode to obtain described first blood oxygen information, first side that corresponding blood oxygen transducer can be arranged on described limbs obtains; When adopting transmission mode to obtain described first blood oxygen information, the detection signal that the transmitting terminal of corresponding blood oxygen transducer sends receives through the first receiving end, rear flank of described limbs, and described detection signal is without second side relative with described first side.Described identification module 2520 can according to described first blood oxygen information and a reference information, identifies that whether described first side is the inner side of described limbs.

In one embodiment, described reference information is the one second blood oxygen information that the second side relative with described first side on described limbs obtains.See Figure 36, described equipment 2500 can also comprise:

One second acquisition module 2530f, the one second blood oxygen information that obtains for the second side relative with described first side on described limbs is as described reference information.

In present embodiment, described identification module 2520 can by the size of the meansigma methods of more described first blood oxygen information and the meansigma methods of described second blood oxygen information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first blood oxygen information is the meansigma methods of the blood oxygen saturation that in described first blood oxygen information, multiple sampled point is corresponding, similar, the meansigma methods of described second blood oxygen information is the meansigma methods of the blood oxygen saturation that in described second blood oxygen information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module 2520 can be greater than the meansigma methods of described second blood oxygen information in response to the meansigma methods of described first blood oxygen information, identify that described first side is the inner side of described limbs; And the meansigma methods in response to described first blood oxygen information is less than the meansigma methods of described second blood oxygen information, identifies that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side blood oxygen information and the outside blood oxygen information of described limbs.Concrete, see Figure 37, described equipment 2500 can also comprise:

One determination module 2540f, for the threshold value determined according to inner side blood oxygen information and the outside blood oxygen information of described limbs as described reference information.

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

Such as, described determination module 2540f can gather the inner side blood oxygen information of described limbs and the outside blood oxygen information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inner side blood oxygen information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside blood oxygen information falls into the second interval (O _min, O _max), then have O _max< I _min, then can determine that described threshold value is M, and O _max< M < I _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first blood oxygen information is greater than described threshold value M, then described identification module 2520 thinks that it falls into described first interval, and described first side is the inner side of described limbs; If the meansigma methods of described first blood oxygen information is less than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

G) described first body sense information can be the fatty information of described first side, i.e. the first fatty information.Described fatty information can be fat percentage, and such as, described first fatty information can be that corresponding fats measurement sensor measures in the first side of described limbs the fat percentage obtained.Described identification module 2520 can according to described first fatty information and a reference information, identifies that whether described first side is the inner side of described limbs.

In one embodiment, described reference information is the one second fatty information that the second side relative with described first side on described limbs obtains.See Figure 38, described equipment 2500 can also comprise:

One second acquisition module 2530g, the one second fatty information that obtains for the second side relative with described first side on described limbs is as described reference information.

In present embodiment, described identification module 2520 can by the size of the meansigma methods of more described first fatty information and the meansigma methods of described second fatty information, identifies that whether described first side is the inner side of described limbs.The meansigma methods of described first fatty information is the meansigma methods of the fat percentage that in described first fatty information, multiple sampled point is corresponding, similar, and the meansigma methods of described second fatty information is the meansigma methods of the fat percentage that in described second fatty information, multiple sampled point is corresponding.By adopting meansigma methods, single sampled point can being avoided to cause identification error when there is sampling error, improving recognition accuracy.Concrete, described identification module can be less than the meansigma methods of described second fatty information in response to the meansigma methods of described first fatty information, identify that described first side is the inner side of described limbs; And the meansigma methods in response to described first fatty information is greater than the meansigma methods of described second fatty information, identify that described first side is not the inner side of described limbs.

In another embodiment, described reference information can be the threshold value determined according to inner side fat information and the outside fat information of described limbs.Concrete, see Figure 39, described equipment 2500 can comprise:

One determination module 2540g, for the threshold value determined according to the inner side of described limbs fat information and outside fat information as described reference information.

Described identification module 2520 can be less than described threshold value in response to the meansigma methods of described first fatty information, identifies that described first side is the inner side of described limbs; And the meansigma methods in response to described first fatty information is greater than described threshold value, identify that described first side is not the inner side of described limbs.

Such as, described determination module 2540g can gather the inner side fat information of described limbs and the outside fat information of described limbs in advance, and carries out analyzing and processing, supposes that the meansigma methods of described inner side fat information falls into the first interval (I _min, I _max), suppose that the meansigma methods of described outside fat information falls into the second interval (O _min, O _max), then have I _max< O _min, then can determine that described threshold value is M, and I _max< M < O _min.That is, described threshold value M is a numerical value between described first interval and described second interval.

Therefore, if the meansigma methods of described first fatty 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 the inner side of described limbs; If the meansigma methods of described first fatty information is greater than described threshold value M, then think that it falls into described second interval, described first side is not the inner side of described limbs, is namely the outside of described limbs.

See Figure 40, in one embodiment, described equipment 2500 can also comprise:

One execution module 2550, for according to recognition result executable operations.

Such as, be the inner side of described limbs according to described first side of recognition result display, then described execution module 2550 can control the body sense signal that described equipment 2500 continues to gather in described first side described user; If show the inner side that described first side is not described limbs, then can control described equipment 2500 and stop at the body sense signal that described first side gathers described user, and gather the body sense signal of described user in the second side relative with described first side.

In limbs described in another embodiment of the application, the hardware configuration of outside identification equipment as shown in figure 41.The application's specific embodiment does not limit the specific implementation of outside identification equipment in described limbs, and see Figure 41, described equipment 4100 can comprise:

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

Processor 4110, communication interface 4120, and memorizer 4130 completes mutual communication by communication bus 4140.

Communication interface 4120, for other net element communications.

Processor 4110, for performing a programme 4132, specifically can perform the correlation step in the embodiment of the method shown in above-mentioned Fig. 1.

Particularly, program 4132 can comprise program code, and described program code comprises computer-managed instruction.

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

Memorizer 4130, for depositing program 4132.Memorizer 4130 may comprise high-speed RAM memorizer, still may comprise nonvolatile memory (non-volatile memory), such as at least one disk memory.Program 4132 specifically can perform following steps:

In program 4132, the specific implementation of each step see the corresponding steps in above-described embodiment or module, can be not repeated herein.Those skilled in the art can be well understood to, and for convenience and simplicity of description, the equipment of foregoing description and the specific works process of module, can describe with reference to the corresponding process in preceding method embodiment, not repeat them here.

Those of ordinary skill in the art can recognize, in conjunction with unit and the method step of each example of embodiment disclosed herein description, can realize with the combination of electronic hardware or computer software and 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 use distinct methods to realize described function to each specifically should being used for, but this realization should not think the scope exceeding the application.

If described function using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part of the part that the technical scheme of the application contributes to prior art in essence in other words or this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, controller, or the network equipment etc.) perform all or part of step of method described in each embodiment of the application.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. various can be program code stored medium.

Above embodiment is only for illustration of the application; and the restriction not to the application; the those of ordinary skill of relevant technical field; when not departing from the spirit and scope of the application; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to the category of the application, and the scope of patent protection of the application should be defined by the claims.

Claims

1. an outside recognition methods in limbs, it is characterized in that, described method comprises:

2. the method for claim 1, is characterized in that, described reference information is the one second fatty information that the second side relative with described first side on described limbs obtains.

3. method as claimed in claim 2, is characterized in that, described according to described first fatty information and a reference information, identifies that whether described first side is that the inner side of described limbs comprises:

By the size of the meansigma methods of more described first fatty information and the meansigma methods of described second fatty information, identify that whether described first side is the inner side of described limbs.

4. method as claimed in claim 3, is characterized in that, the described size by the meansigma methods of more described first fatty information and the meansigma methods of described second fatty information, identifies that whether described first side is that the inner side of described limbs comprises:

Meansigma methods in response to described first fatty information is less than the meansigma methods of described second fatty information, identifies that described first side is the inner side of described limbs;

Meansigma methods in response to described first fatty information is greater than the meansigma methods of described second fatty information, identifies that described first side is not the inner side of described limbs.

5. the method for claim 1, is characterized in that, described reference information is the threshold value determined according to inner side fat information and the outside fat information of described limbs.

6. method as claimed in claim 5, is characterized in that, described according to described first fatty information and a reference information, identifies that whether described first side is that the inner side of described limbs comprises:

Meansigma methods in response to described first fatty information is less than described threshold value, identifies that described first side is the inner side of described limbs;

Meansigma methods in response to described first fatty information is greater than described threshold value, identifies that described first side is not the inner side of described limbs.

7. the method as described in any one of claim 1 to 6, is characterized in that, described method also comprises:

According to recognition result executable operations.

8. method as claimed in claim 7, is characterized in that, describedly comprises according to recognition result executable operations:

In response to the inner side that described first side is described limbs, continue the body sense signal gathering described user in described first side.

9. an outside identification equipment in limbs, it is characterized in that, described equipment comprises:

10. equipment as claimed in claim 9, it is characterized in that, described equipment also comprises:

One second acquisition module, the one second fatty information that obtains for the second side relative with described first side on described limbs is as described reference information.

11. equipment as claimed in claim 10, is characterized in that, described identification module, for the size by the meansigma methods of more described first fatty information and the meansigma methods of described second fatty information, identify that whether described first side is the inner side of described limbs.

12. equipment as claimed in claim 11, is characterized in that, described identification module, for being less than the meansigma methods of described second fatty information in response to the meansigma methods of described first fatty information, identify that described first side is the inner side of described limbs; And

13. equipment as claimed in claim 9, it is characterized in that, described equipment also comprises:

For the fatty information of inner side fat information and outside according to described limbs, one determination module, determines that a threshold value is as described reference information.

14. equipment as claimed in claim 13, is characterized in that, described identification module, for being less than described threshold value in response to the meansigma methods of described first fatty information, identify that 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 characterized in that, described equipment also comprises:

One execution module, for according to recognition result executable operations.

16. equipment as claimed in claim 15, is characterized in that, described execution module, for being the inner side of described limbs in response to described first side, continue the body sense information gathering described user in described first side.

17. equipment as described in any one of claim 9 to 16, it is characterized in that, described equipment is a Wearable device.

Outside recognition methods in 18. 1 kinds of limbs, it is characterized in that, described method comprises:

Outside identification equipment in 19. 1 kinds of limbs, it is characterized in that, described equipment comprises: