CN103941874B - Recognition methodss and equipment - Google Patents
Recognition methodss and equipment Download PDFInfo
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- CN103941874B CN103941874B CN201410179171.5A CN201410179171A CN103941874B CN 103941874 B CN103941874 B CN 103941874B CN 201410179171 A CN201410179171 A CN 201410179171A CN 103941874 B CN103941874 B CN 103941874B
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Abstract
This application provides a kind of recognition methodss and equipment, it is related to Wearable field.Methods described includes：Obtain one first heart beating transmitting signal of a reference position on body；Obtain one second heart beating transmitting signal on the target limbs of described body；Identify that described target limbs are left limb or right limb according at least to described first heart beating transmitting signal and described second heart beating transmitting signal.Methods described and equipment, are capable of left and right limb automatic identification, simplify configuration step, improve Consumer's Experience.
Description
Technical field
The application is related to Wearable technical field, more particularly, to a kind of recognition methodss and equipment.
Background technology
With the development of electronic equipment, the Wearable such as intelligent spire lamella, intelligent watch is gradually popularized.People can facilitate
Ground is using these Wearable monitoring quantity of motion, monitoring sleep quality, monitoring health status, and checks cellphone information etc..
General, the Wearable such as existing intelligent spire lamella, intelligent watch, for guarantee monitoring accuracy and convenient use
The consideration of family operation, is required for pre-setting wearing site by user.Such as, after user wears intelligent spire lamella every time, intelligent wrist
It is left hand or the right hand that band can point out the current wearing site of user input, to complete to wear accordingly setting.Above-mentioned configured
Journey increased user's operating time, reduces Consumer's Experience.
Content of the invention
The purpose of the application is：A kind of recognition methodss and equipment are provided.
A kind of one side according at least one embodiment of the application, there is provided recognition methodss, methods described includes：
Obtain one first heart beating transmitting signal of a reference position on body；
Obtain one second heart beating transmitting signal on the target limbs of described body；
Identify that described target limbs are according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Left limb or right limb.
A kind of other side according at least one embodiment of the application, there is provided identification equipment, described equipment includes：
One first acquisition module, for obtaining one first heart beating transmitting signal of a reference position on body；
One second acquisition module, for obtaining one second heart beating transmitting signal on the target limbs of described body；
One identification module, for according at least to described first heart beating transmitting signal and described second heart beating transmitting signal identification
Described target limbs are left limb or right limb.
The embodiment of the present application methods described and equipment, on body, a reference position obtains described first heart beating and propagates letter
Number, described second heart beating transmitting signal is obtained on target limbs, and according at least to described first heart beating transmitting signal and described
Second heart beating transmitting signal identifies that described target limbs are left limb or right limb, it is achieved thereby that left and right limb automatic identification, simplifies
Configuration step, improves Consumer's Experience.
Brief description
Fig. 1 is the flow chart of recognition methodss described in one embodiment of the application；
Fig. 2 is to record the second heart beating transmitting signal and in reference respectively at left and right wrist portion in one application scenarios of the application
Position records the contrast schematic diagram of the first heart beating transmitting signal；
Fig. 3 is to record the second heart beating transmitting signal and in ginseng respectively at left and right wrist portion in another application scenarios of the application
Examine the contrast schematic diagram that position records the first heart beating transmitting signal；
Fig. 4 is to record the second heart beating transmitting signal and in ginseng respectively at left and right wrist portion in another application scenarios of the application
Examine the contrast schematic diagram that position records the first heart beating transmitting signal；
Fig. 5 is the flow chart of recognition methodss described in one embodiment of the application；
Fig. 6 is the flow chart of recognition methodss described in another embodiment of the application；
Fig. 7 is the flow chart of recognition methodss described in another embodiment of the application；
Fig. 8 is right-hand man's pattern diagram of smart mobile phone described in the embodiment of the present application；
Fig. 9 is the modular structure schematic diagram identifying equipment described in the embodiment of the present application；
Figure 10 is the modular structure schematic diagram of identification module described in one embodiment of the application；
Figure 11 is the modular structure schematic diagram of identification module described in one embodiment of the application；
Figure 12 is the modular structure schematic diagram identifying equipment described in one embodiment of the application；
Figure 13 is the modular structure schematic diagram identifying equipment described in another embodiment of the application；
Figure 14 is the modular structure schematic diagram identifying equipment described in another embodiment of the application；
Figure 15 is the hardware architecture diagram identifying equipment described in the embodiment of the present application.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the application is described in further detail.Hereinafter implement
Example is used for the application is described, but is not limited to scope of the present application.
It will be appreciated by those skilled in the art that in embodiments herein, the size of the sequence number of following each steps is not intended to
The priority of execution sequence, the execution sequence of each step should be determined with its function and internal logic, and the application should not be implemented
The implementation process of example constitutes any restriction.
Inventor finds in research process, and the Wearable such as existing intelligent watch, intelligent spire lamella is typically respectively provided with
Detection ecg wave form signal and the ability of blood flow pulsating waveform signal.Simultaneously it is assumed that a cardiac cycle starts rear corresponding blood
The time that stream pulsating waveform signal reaches left hand is TL, this cardiac cycle corresponding blood flow pulsating waveform signal reaches the right hand
Time be TR.Because heart has asymmetry (being located at left breast) in human body, T can be led toLAnd TRBetween have significantly
Difference.The application realizes the identification to right-hand man based on this species diversity, and similar realization is to left and right arm, right and left shoulders
Wing, left and right foot, the identification of left and right lower limb.
Fig. 1 is the flow chart of recognition methodss described in one embodiment of the application, and described recognition methodss can be in such as one knowledge
Realize on other equipment.As shown in figure 1, methods described includes：
S120：Obtain one first heart beating transmitting signal of a reference position on body；
S140：Obtain one second heart beating transmitting signal on the target limbs of described body；
S160：Identify described target limb according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Body is left limb or right limb.
The embodiment of the present application methods described, on body, a reference position obtains described first heart beating transmitting signal,
Described second heart beating transmitting signal is obtained on target limbs, and according at least to described first heart beating transmitting signal and described second heart
It is left limb or right limb that target limbs described in signal identification are broadcast in jump set, it is achieved thereby that left and right limb automatic identification, simplifies configuration step
Suddenly, improve Consumer's Experience.
Describe described step S120, S140 and the function of S160 below with reference to specific embodiment in detail.
S120：Obtain one first heart beating transmitting signal of a reference position on body.
Described reference position can be any position on described body, such as its may be located at the extremity of body, head,
Trunk etc..Described first heart beating transmitting signal can be such as ecg wave form signal or blood flow pulsating waveform signal.Wherein, described
Ecg wave form signal is the signal of electrical activity produced by the reflection each cardiac cycle of heart, can be such as the electrocardio of human body
Figure, it such as can be obtained by one group of electrocardio detection electrode.Described blood flow pulsating waveform signal is that reflection heart is each aroused in interest
Produced by cycle, the signal of blood flow pulsation, can be such as the photoplethysmographic (PPG) of human body, it such as can pass through
Optical pickocff, ultrasonic sensor, emf sensor etc. obtain.
S140：Obtain one second heart beating transmitting signal on the target limbs of described body.
Described target limbs are one of left limb described hereinafter or right limb, and it can be handss, arm, shoulder, foot or lower limb.
In addition, including to the identification of described target limbs in the application：Identify left hand or the right hand from two handss of human body, from human body
Identify left arm or right arm in two arms, identify left shoulder or right shoulder from two shoulders of human body, from human body
Bipod in identify left foot or right crus of diaphragm, or, identify left lower limb or right lower limb from two lower limbs of human body.Those skilled in the art manage
Solution, the recognition principle for handss, arm, shoulder, foot or lower limb is identical, and identification process is similar, simple for the sake of, the application emphasis is said
Bright identify left hand or the right hand from two handss of human body.
Described second heart beating transmitting signal can be such as ecg wave form signal or blood flow pulsating waveform signal.Described first
Heart beating transmitting signal and described second heart beating transmitting signal can be different types of heart beating transmitting signals or mutually similar
The heart beating transmitting signal of type.For the sake of simple, hereafter equal with described first heart beating transmitting signal and described second heart beating transmitting signal
Illustrate for as a example blood flow pulsating waveform signal.
S160：Identify described target limb according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Body is left limb or right limb.
In one embodiment, described step S160 can include：
S163：Obtain a fisrt feature point corresponding time on described first heart beating transmitting signal；
S164：Obtain corresponding with a described fisrt feature point second feature point pair on described second heart beating transmitting signal
The time answered；
S166：Identify institute according at least to described fisrt feature point corresponding time and described second feature point corresponding time
Stating target limbs is left limb or right limb.
Wherein, described fisrt feature point can be the crest on described first heart beating transmitting signal, corresponding described second
Characteristic point can be the crest on described second heart beating transmitting signal.Certainly, it will be appreciated by those skilled in the art that described fisrt feature
Point can also be the trough on described first heart beating transmitting signal, and corresponding described second feature point also can also be described second
Trough on heart beating transmitting signal；Or, described fisrt feature point can also be the crest on described first heart beating transmitting signal,
Corresponding described second feature point also can also be the trough on described second heart beating transmitting signal；Or, described fisrt feature
Point can also be the trough on described first heart beating transmitting signal, and corresponding described second feature point also can also be described second
Crest on heart beating transmitting signal.For the sake of simple, it is hereafter right respectively only with described fisrt feature point and described second feature point
The principle that the application realizes left and right limb identification is described in detail as a example answering the crest on heart beating transmitting signal.
Referring to Fig. 2, under the first application scenarios, a corresponding heart beat cycle, in described reference position in TCTime is examined
Measure the crest of blood flow pulsating waveform signal, in left hand in TLTime detecting to the crest of blood flow pulsating waveform signal, in the right hand
In TRTime detecting is to the crest of blood flow pulsating waveform signal.Under this kind of application scenarios, TR＞ TL＞ TC, thus TR-TC＞ TL-
TC.Assume TR-TC=Δ TR, TL-TC=Δ TL, then Δ TR＞ Δ TL.
Referring to Fig. 3, under second application scenarios, a corresponding heart beat cycle, in described reference position in TCTime is examined
Measure the crest of blood flow pulsating waveform signal, in left hand in TLTime detecting to the crest of blood flow pulsating waveform signal, in the right hand
In TRTime detecting is to the crest of blood flow pulsating waveform signal.Under this kind of application scenarios, TR＞ TL, and TR+ T ＞ TL+ T ＞
TC, wherein T represents heart beat cycle.Assume TR+T-TC=Δ TR, TL+T-TC=Δ TL, then Δ TR＞ Δ TL.
Referring to Fig. 4, under the third application scenarios, a corresponding heart beat cycle, in described reference position in TCTime is examined
Measure the crest of blood flow pulsating waveform signal, in left hand in TLTime detecting to the crest of blood flow pulsating waveform signal, in the right hand
In TRTime detecting is to the crest of blood flow pulsating waveform signal.Under this kind of application scenarios, TR＞ TC, TL＜ TC, and TR-TC＜
T/2, TC-TL＜ T/2.In addition, being affected by described reference position, TRAnd TLMiddle possible one is equal to TC, but both can not possibly be same
When be equal to TC.
Above-mentioned first and second kinds of application scenarios, can carry out right-hand man's identification, below using similar recognition methodss
Corresponding for above two application scenarios recognition mode is referred to as the first recognition mode.And by corresponding for the third application scenarios knowledge
Other pattern is referred to as the second recognition mode.
Methods described can only include in above two recognition mode (the first recognition mode and the second recognition mode)
Kind, that is, give tacit consent to and processed according to a certain recognition mode；Or it is also possible to include above two recognition mode.A kind of real
Apply in mode, methods described includes above two recognition mode, described step S160 also includes：
S161：Determine that current recognition mode is the first recognition mode or the second recognition mode；
S162：Determine the strategy choosing described fisrt feature point and described second feature point according to current recognition mode.
In described step S161, described current recognition mode can such as determine according to user input in actual applications.
In described step S162, under described first recognition mode, can choose on described first heart beating transmitting signal
Any one crest as described fisrt feature point, after described second heart beating transmitting signal chooses described fisrt feature point
First crest is as described second feature point.Under described second recognition mode, can be in described first heart beating transmitting signal
Upper any one crest of selection, as described fisrt feature point, is chosen special with described first on described second heart beating transmitting signal
The crest that the time difference levied a little is less than two/heart cycle is described second feature point.
Described step S166 further includes：
S1661：According at least to current recognition mode, and described fisrt feature point corresponding time and described second feature
The point corresponding time identifies that described target limbs are left limb or right limb.
Specifically, be described first recognition mode in response to described current recognition mode, according to a reference time difference and
The time difference of described fisrt feature point corresponding time and described second feature point corresponding time identifies that described target limbs are
Left limb or right limb.It is abbreviated the described fisrt feature point corresponding time and the time difference of described second feature point corresponding time is denoted as
Elapsed time differs from Δ TD.According to Δ T described previouslyR＞ Δ TL, therefore, it can predetermined Δ TRWith Δ TLNumerical value as described
Reference time is poor, and then relatively more described reference time difference and difference of described elapsed time are to complete to identify.
Specifically, in one embodiment, described reference time difference such as can include a left-hand reference time difference Δ
TCLWith a right hand reference time difference Δ TCR.In the case of one kind, described left-hand reference time difference Δ TCLWith the described right hand reference time
Difference Δ TCRIt is a time value, Δ T is differed from by the relatively more described elapsed timeDWith described left-hand reference time difference Δ TCLWith the described right side
Rhizoma Gymnadeniae examines time difference Δ TCRNearness, identify described target limbs be left hand or the right hand.Or, in the case of another kind, such as table 1
Shown, described left-hand reference time difference Δ TCLWith described right hand reference time difference Δ TCRIt is a time interval, according to described reality
The situation that survey time difference falls into two time intervals can identify that described target limbs are left hand or the right hand.
Table 1
| ΔTCL | ΔTCR |
| (0.27s,0.29s) | (0.47s,0.49s) |
In another embodiment, described reference time difference such as can only include a left-hand reference time difference, if
Described elapsed time difference falls into described left-hand reference time difference, then described target limbs are left hands, and otherwise, described target limbs are
The right hand.
It is described second recognition mode in response to described current recognition mode, can be corresponding according to described fisrt feature point
The precedence relationship of time and described second feature point corresponding time identifies that described target limbs are left limb or right limb.According to above
Described TR＞ TC, TL＜ TCIf the time of described second feature point that is to say, that described target limbs are the right hands, is detected
After the time of described fisrt feature point is detected；If described target limbs are left hands, described second feature is detected
The time of point is before the time of described fisrt feature point is detected.Therefore, it can correspond to by relatively more described fisrt feature point
Time and the described second feature point corresponding time precedence relationship to identify described target limbs.
It is appreciated that the described first heart beating transmitting signal detecting in described reference position in identification process as one
Individual reference signal, based on described reference signal, can obtain the corresponding heart beating transmitting signal of heart beat cycle from heart to mesh
The relative time of mark limbs.It is appreciated that the corresponding heart beating transmitting signal of heart beat cycle is exhausted to target limbs from heart
It is more unobtainable to the time, and is based on described reference signal, can easier obtain described relative time, and based on this
Relative time can complete the identification to target limbs.Accordingly, it is considered to the fluctuation shadow reducing described reference signal as far as possible
Ring, to improve recognition accuracy, described reference position should be close proximity to heart.
Inventor also finds in research process simultaneously, the pulse of human body, blood pressure, body temperature, kinestate, body posture etc.
Measured result can be affected, such as when human body is kept in motion, the spread speed of blood flow pulsating waveform signal is accelerated, at this moment,
Under the first recognition mode, described elapsed time difference can be less than normal compared with non-athletic state；For another example, when tested target limbs are in
Lifting status (as left hand lifts), due to the impact of gravity, the spread speed of blood flow pulsating waveform signal slows down, at this moment,
Under two kinds of recognition modes, TLT may be more thanC.Therefore, in order to improve recognition accuracy, referring to Fig. 5, in an embodiment
In, methods described also includes：
S150：Obtain a first sensor information.
Wherein, described first sensor information includes：Pulse information, blood pressure information, body temperature information, movement state information,
In body posture information at least one.
Accordingly, described step S1661 further includes：According to described current recognition mode, described first sensor letter
Cease, and described fisrt feature point corresponding time and described second feature point corresponding time identify that described target limbs are left
Limb or right limb.
It is assumed that described first sensor information is pulse information under the first recognition mode, arteries and veins specially per minute
Fight number of times, then described reference time difference can be as shown in table 2, the different pulse informations of correspondence, corresponding reference time difference has
Fine distinction, such as when user moves, its frequency of pulse per minute is between [90,100], the reference time of left hand
Difference Δ TCLBe (0.268s, 0.272s], its partial data not the reference time of left hand in non-athletic state poor (0.27s,
In the range of 0.29s).Assume that testing result shows, the current pulse information of user is 100 times per minute, elapsed time difference is
0.269s, then may determine that described target limbs are left hand.
Table 2
| Pulse information | ΔTCL | ΔTCR |
| [60,70) | (0.286s,0.290s) | (0.486s,0.490s) |
| [70,80) | (0.276s,0.286s] | (0.476s,0.486s] |
| [80,90) | (0.272s,0.276s] | (0.472s,0.476s] |
| [90,100] | (0.268s,0.272s] | (0.468s,0.472s] |
It is assumed that described reference position is near the heart of described body under second recognition mode, described first sensing
Device information is body posture information, and shows that the both hands of user are in raised state, and the described second feature now recording
The point corresponding time is more than the described fisrt feature point corresponding time.In the state of being in and lift in both hands, no matter described
Target limbs are left hand or the right hand, and the described second feature point corresponding time is more than the described fisrt feature point corresponding time,
The recognition result of mistake if at this moment judging that described target limbs are the right hands, may be given.Therefore, in this case, may be used
Re-start detection to extend after the scheduled time, and be identified based on new detection data, to avoid identifying mistake.
As shown in fig. 6, in one embodiment of the present invention, methods described can also include：
S170：Corresponding operating is executed according to recognition result.
Described execution corresponding operating can include：Switch mode, remind user, in matching unit at least one.Such as, exist
User by a wrist strap (including identification equipment), in the case that the right hand transfers to left hand, wear by described identification equipment automatic identification
In left hand, then left-handed mode is switched to by right-handed mode it is possible to remind user currently to switch to left-handed mode, in addition,
A smart mobile phone can also be notified to set up the matching relationship based on left-handed mode with described wrist strap.
In addition, inventor's research finds, after described recognition result combines some sensing datas, other can also be assisted to set
Standby judge itself to be in left hand or the right hand of user.Such as, wear described identification equipment in response to the left hand with user, meanwhile,
Left-handed one smart mobile phone of user, then described identification equipment and described smart mobile phone can collect identical and accelerate the number of degrees
According to.Therefore, as shown in fig. 7, in one embodiment of the application, methods described also includes：
S180：Obtain a second sensor information；
S190：Recognition result and described second sensor information are sent to other equipment.
Wherein, described second sensor information can include acceleration information, angle information etc..In addition, described other set
For described second sensor information and the sensor information of itself being compared, itself be can determine according to comparative result
The position of residing user's body.Such as it is assumed that described recognition result shows that described target limbs are left hand, described second biography simultaneously
The sensor information of sensor information and described other equipment itself is consistent, then described other equipment also is located at the left hand of user；No
Then, if the sensor information of described second sensor information and described other equipment itself is inconsistent, described other equipment
The right hand positioned at user.
In addition, described other equipment can also according to residing for it position, carry out the corresponding operatings such as pattern switching.Such as, such as
Shown in Fig. 8, in response to a smart mobile phone, left hand is transferred to by the right hand, it can be automatically switched to by the right-handed mode on the left of Fig. 8
Left-handed mode on the right side of Fig. 8, to facilitate user to be unlocked operation.
Additionally, the embodiment of the present application also provides a kind of computer-readable medium, including carrying out following operation when executed
Computer-readable instruction：Step S120, S140 executing the method in above-mentioned Fig. 1, Fig. 5, Fig. 6 and Fig. 7 illustrated embodiment
The operation of～S190.
To sum up, herein described method can be automatically performed left and right limb and identify it is possible to be switched over according to recognition result
The corresponding operatings such as pattern, prompting user, matching unit, and assist other equipment to complete left and right limb identification, thus effectively simplifying
Device configuration step, saves user time, improves Consumer's Experience.
Fig. 9 is the modular structure schematic diagram identifying equipment described in the embodiment of the present invention, and described identification equipment can be intelligence
The Intelligent worn device such as wrist strap, intelligent watch, puma arm band.Described identification equipment 900 can include：
One first acquisition module 910, for obtaining one first heart beating transmitting signal of a reference position on body；
One second acquisition module 920, for obtaining one second heart beating transmitting signal on the target limbs of described body；
One identification module 930, for according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Identify that described target limbs are left limb or right limb.
Equipment described in the embodiment of the present application, on body, a reference position obtains described first heart beating transmitting signal,
Described second heart beating transmitting signal is obtained on target limbs, and according at least to described first heart beating transmitting signal and described second heart
It is left limb or right limb that target limbs described in signal identification are broadcast in jump set, it is achieved thereby that left and right limb automatic identification, simplifies configuration step
Suddenly, improve Consumer's Experience.
Describe described first acquisition module 910, described second acquisition module 920 below with reference to specific embodiment in detail
Function with described identification module 930.
Described first acquisition module 910, for obtaining one first heart beating transmitting signal of a reference position on body.
Described reference position can be any position on described body, such as its may be located at the extremity of body, head,
Trunk etc..Described first heart beating transmitting signal can be such as ecg wave form signal or blood flow pulsating waveform signal.Wherein, described
Ecg wave form signal is the signal of electrical activity produced by the reflection each cardiac cycle of heart, can be such as the electrocardio of human body
Figure, it such as can be obtained by one group of electrocardio detection electrode.Described blood flow pulsating waveform signal is that reflection heart is each aroused in interest
Produced by cycle, the signal of blood flow pulsation, can be such as the photoplethysmographic (PPG) of human body, it such as can pass through
Optical pickocff, ultrasonic sensor, emf sensor etc. obtain.
Described second acquisition module 920, for obtaining one second heart beating transmitting signal on the target limbs of described body.
Described target limbs are one of left limb described hereinafter or right limb, and it can be handss, arm, shoulder, foot or lower limb.
In addition, including to the identification of described target limbs in the application：Identify left hand or the right hand from two handss of human body, from human body
Identify left arm or right arm in two arms, identify left shoulder or right shoulder from two shoulders of human body, from human body
Bipod in identify left foot or right crus of diaphragm, or, identify left lower limb or right lower limb from two lower limbs of human body.Those skilled in the art manage
Solution, the recognition principle for handss, arm, shoulder, foot or lower limb is identical, and identification process is similar, simple for the sake of, the application emphasis is said
Bright identify left hand or the right hand from two handss of human body.
Described second heart beating transmitting signal can be such as ecg wave form signal or blood flow pulsating waveform signal.Described first
Heart beating transmitting signal and described second heart beating transmitting signal can be different types of heart beating transmitting signals or mutually similar
The heart beating transmitting signal of type.For the sake of simple, hereafter equal with described first heart beating transmitting signal and described second heart beating transmitting signal
Illustrate for as a example blood flow pulsating waveform signal.
Described identification module 930, for propagating letter according at least to described first heart beating transmitting signal and described second heart beating
Number identify described target limbs be left limb or right limb.
Referring to Figure 10, in one embodiment, described identification module 930 can include：
One very first time acquiring unit 933, for obtaining the fisrt feature point pair on described first heart beating transmitting signal
The time answered；
One second time acquisition unit 934, for obtain on described second heart beating transmitting signal with described fisrt feature point
The a corresponding second feature point corresponding time；
One recognition unit 935, for according at least to described fisrt feature point corresponding time and described second feature point pair
The time answered identifies that described target limbs are left limb or right limb.
Wherein, described fisrt feature point can be the crest on described first heart beating transmitting signal, corresponding described second
Characteristic point can be the crest on described second heart beating transmitting signal.Certainly, it will be appreciated by those skilled in the art that described fisrt feature
Point can also be the trough on described first heart beating transmitting signal, and corresponding described second feature point also can also be described second
Trough on heart beating transmitting signal；Or, described fisrt feature point can also be the crest on described first heart beating transmitting signal,
Corresponding described second feature point also can also be the trough on described second heart beating transmitting signal；Or, described fisrt feature
Point can also be the trough on described first heart beating transmitting signal, and corresponding described second feature point also can also be described second
Crest on heart beating transmitting signal.For the sake of simple, it is hereafter right respectively only with described fisrt feature point and described second feature point
The principle that the application realizes left and right limb identification is described in detail as a example answering the crest on heart beating transmitting signal.
As described in embodiment of the method above, described equipment may be operated under two kinds of different recognition modes, referring to Figure 11,
In one embodiment, described identification module 930 also includes：
One pattern determining unit 931, for determining that current recognition mode is the first recognition mode or the second recognition mode.Its
In, described current recognition mode can such as determine according to user input in actual applications.
One policy determining unit 932, chooses described fisrt feature point and described for determining according to current recognition mode
The strategy of two characteristic points.Wherein, under described first recognition mode, can choose on described first heart beating transmitting signal arbitrarily
One crest, as described fisrt feature point, is chosen first after described fisrt feature point on described second heart beating transmitting signal
Individual crest is as described second feature point.Under described second recognition mode, can select on described first heart beating transmitting signal
Take any one crest as described fisrt feature point, described second heart beating transmitting signal is chosen and described fisrt feature point
Time difference be less than two/heart cycle crest be described second feature point.
Accordingly, described recognition unit 935, for according at least to current recognition mode, and described fisrt feature point pair
The time answered and described second feature point corresponding time identify that described target limbs are left limb or right limb.
Specifically, referring to Figure 11, described recognition unit 935 can include：
One first identification subelement 9351, for being described first recognition mode in response to described current recognition mode, root
According to a reference time difference and the time difference of described fisrt feature point corresponding time and described second feature point corresponding time
Identify that described target limbs are left limb or right limb.
It is abbreviated the described fisrt feature point corresponding time and the time difference of described second feature point corresponding time is denoted as reality
Survey time difference Δ TD.Δ T according to embodiment of the methodR＞ Δ TL, therefore, it can predetermined Δ TRWith Δ TLNumerical value conduct
The described reference time is poor, and then relatively more described reference time difference and difference of described elapsed time are to complete to identify.
Specifically, in one embodiment, described reference time difference such as can include a left-hand reference time difference Δ
TCLWith right hand reference time difference CTCR.In the case of one kind, described left-hand reference time difference Δ TCLWith the described right hand reference time
Difference CTCRIt is a time value, CT is differed from by the relatively more described elapsed timeDWith described left-hand reference time difference CTCLWith the described right hand
Reference time differs from Δ TCRNearness, identify described target limbs be left hand or the right hand.Or, in the case of another kind, as table 1 institute
Show, described left-hand reference time difference CTCLWith described right hand reference time difference Δ TCRIt is a time interval, according to described actual measurement
The situation that time difference falls into two time intervals can identify that described target limbs are left hand or the right hand.
In another embodiment, described reference time difference such as can only include a left-hand reference time difference, if
Described elapsed time difference falls into described left-hand reference time difference, then described target limbs are left hands, and otherwise, described target limbs are
The right hand.
Referring to Figure 11, described recognition unit 935 can also include：
One second identification subelement 9352, for being described second recognition mode in response to described current recognition mode, root
Precedence relationship according to described fisrt feature point corresponding time and described second feature point corresponding time identifies described target limb
Body is left limb or right limb.
T according to embodiment of the methodR＞ TC, TL＜ TCIf that is to say, that described target limbs are the right hands, detected
To described second feature point time after the time of described fisrt feature point is detected；If described target limbs are left
Handss, then the time described second feature point is detected is before the time of described fisrt feature point is detected.Therefore, it can pass through
The precedence relationship of comparison described fisrt feature point corresponding time and described second feature point corresponding time is to identify described mesh
Mark limbs.
Because the pulse of human body, blood pressure, body temperature, kinestate, body posture etc. may affect measured result, in order to carry
High recognition accuracy, referring to Figure 12, in one embodiment, described equipment 900 also includes：
One first sensor module 940, for obtaining a first sensor information.
Wherein, described first sensor information includes：Pulse information, blood pressure information, body temperature information, movement state information,
In body posture information at least one.
Accordingly, in present embodiment, described identification module 930, for according to described current recognition mode, described first
Sensor information, and described fisrt feature point corresponding time and the described target of identification of described second feature point corresponding time
Limbs are left limb or right limb.
Referring to Figure 13, in one embodiment, described equipment 900 also includes：
One performing module 950, for executing corresponding operating according to recognition result.
Described execution corresponding operating can include：Switch mode, remind user, in matching unit at least one.Such as, exist
User by a wrist strap (including identification equipment), in the case that the right hand transfers to left hand, wear by described identification equipment automatic identification
In left hand, then left-handed mode is switched to by right-handed mode it is possible to remind user currently to switch to left-handed mode, in addition,
A smart mobile phone can also be notified to set up the matching relationship based on left-handed mode with described wrist strap.
In addition, inventor's research finds, after described recognition result combines some sensing datas, other can also be assisted to set
Standby judge itself to be in left hand or the right hand of user.Such as, wear described identification equipment in response to the left hand with user, meanwhile,
Left-handed one smart mobile phone of user, then described identification equipment and described smart mobile phone can collect identical and accelerate the number of degrees
According to.Therefore, as shown in figure 14, in one embodiment of the application, described equipment 900 also includes：
One second sensor module 960, for obtaining a second sensor information；
One sending module 970, for being sent to other equipment by recognition result and described second sensor information.
Wherein, described second sensor information can include acceleration information, angle information etc..In addition, described other set
For described second sensor information and the sensor information of itself being compared, itself be can determine according to comparative result
The position of residing user's body.In addition, described other equipment can also according to residing for it position, carry out that pattern switching etc. is corresponding to be grasped
Make.
Identify described in one embodiment of the application that the hardware configuration of equipment is as shown in figure 15.The application specific embodiment is not
Described implementing of identification equipment is limited, referring to Figure 15, described identification equipment 1500 can include：
Processor (processor) 1510, communication interface (Communications Interface) 1520, memorizer
(memory) 1530, and communication bus 1540.Wherein：
Processor 1510, communication interface 1520, and memorizer 1530 completed by communication bus 1540 mutual logical
Letter.
Communication interface 1520, for other net element communications.
Processor 1510, for configuration processor 1532, specifically can execute the phase in the embodiment of the method shown in above-mentioned Fig. 1
Close step.
Specifically, program 1532 can include program code, and described program code includes computer-managed instruction.
Processor 1510 is probably a central processor CPU, or specific integrated circuit ASIC (Application
Specific Integrated Circuit), or be arranged to implement the one or more integrated electricity of the embodiment of the present application
Road.
Memorizer 1530, is used for depositing program 1532.Memorizer 1530 may comprise high-speed RAM memorizer it is also possible to go back
Including nonvolatile memory (non-volatile memory), for example, at least one disk memory.Program 1532 specifically may be used
To execute following steps：
Obtain one first heart beating transmitting signal of a reference position on body；
Obtain one second heart beating transmitting signal on the target limbs of described body；
Identify that described target limbs are according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Left limb or right limb.
In program 1532 each step implement the corresponding steps that may refer in above-described embodiment or module, here is not
Repeat.Those skilled in the art can be understood that, for convenience and simplicity of description, the equipment of foregoing description and mould
The specific work process of block, may be referred to the corresponding process description in preceding method embodiment, will not be described here.
Those of ordinary skill in the art are it is to be appreciated that combine the list of each example of the embodiments described herein description
Unit and method and step, being capable of being implemented in combination in electronic hardware or computer software and electronic hardware.These functions are actually
To be executed with hardware or software mode, the application-specific depending on technical scheme and design constraint.Professional and technical personnel
Each specific application can be used different methods to realize described function, but this realization is it is not considered that exceed
Scope of the present application.
If described function realized using in the form of SFU software functional unit and as independent production marketing or use when, permissible
It is stored in a computer read/write memory medium.Based on such understanding, the technical scheme of the application is substantially in other words
Partly being embodied in the form of software product of part that prior art is contributed or this technical scheme, this meter
Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual
People's computer, controller, or network equipment etc.) execution each embodiment methods described of the application all or part of step.
And aforesaid storage medium includes：USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory are deposited
Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.
Embodiment of above is merely to illustrate the application, and the not restriction to the application, common about technical field
Technical staff, in the case of without departing from spirit and scope, can also make a variety of changes and modification, therefore all
Equivalent technical scheme falls within the category of the application, and the scope of patent protection of the application should be defined by the claims.
Claims (26)
1. a kind of recognition methodss are it is characterised in that methods described includes：
Obtain one first heart beating transmitting signal of a reference position on body；
Obtain one second heart beating transmitting signal on the target limbs of described body；
Identify that described target limbs are left limbs according at least to described first heart beating transmitting signal and described second heart beating transmitting signal
Or right limb；
Wherein, described according at least to described first heart beating transmitting signal and described second heart beating transmitting signal identify described target limb
Body is left limb or right limb includes：
Obtain a fisrt feature point corresponding time on described first heart beating transmitting signal；
Obtain corresponding with a described fisrt feature point second feature point corresponding time on described second heart beating transmitting signal；
Identify described target limb according at least to described fisrt feature point corresponding time and described second feature point corresponding time
Body is left limb or right limb.
2. the method for claim 1 is it is characterised in that described first heart beating transmitting signal and described second heart beating are propagated
Signal is different types of heart beating transmitting signal.
3. the method for claim 1 is it is characterised in that described first heart beating transmitting signal and described second heart beating are propagated
Signal is the heart beating transmitting signal of same type.
4. the method as described in any one of claims 1 to 3 is it is characterised in that described first heart beating transmitting signal is electrocardio ripple
Shape signal or blood flow pulsating waveform signal, described second heart beating transmitting signal is ecg wave form signal or blood flow pulsating waveform letter
Number.
5. the method for claim 1 is it is characterised in that methods described also includes：
Determine that current recognition mode is the first recognition mode or the second recognition mode；
Determine the strategy choosing described fisrt feature point and described second feature point according to current recognition mode.
6. method as claimed in claim 5 it is characterised in that described according at least to the described fisrt feature point corresponding time and
The described second feature point described target limbs of corresponding time identification are left limbs or right limb includes：
According at least to current recognition mode, and the described fisrt feature point corresponding time and described second feature point corresponding when
Between identify that described target limbs are left limb or right limb.
7. method as claimed in claim 6 it is characterised in that described according at least to current recognition mode, and described first
The time of Feature point correspondence and described second feature point corresponding time identify that described target limbs are left limbs or right limb includes：
It is described first recognition mode in response to described current recognition mode, according to a reference time difference and described fisrt feature
The time difference of point corresponding time and described second feature point corresponding time identifies that described target limbs are left limb or right limb.
8. method as claimed in claim 6 it is characterised in that described according at least to current recognition mode, and described first
The time of Feature point correspondence and described second feature point corresponding time identify that described target limbs are left limbs or right limb includes：
It is described second recognition mode in response to described current recognition mode, according to described fisrt feature point corresponding time and institute
The precedence relationship stating the second feature point corresponding time identifies that described target limbs are left limb or right limb.
9. the method as described in any one of claim 6 to 8 is it is characterised in that methods described also includes：
Obtain a first sensor information.
10. method as claimed in claim 9 it is characterised in that described according at least to current recognition mode, and described first
The time of Feature point correspondence and described second feature point corresponding time identify that described target limbs are left limbs or right limb includes：
According to described current recognition mode, described first sensor information, and described fisrt feature point corresponding time and institute
Stating the described target limbs of second feature point corresponding time identification is left limb or right limb.
11. methods as claimed in claim 9 are it is characterised in that described first sensor information includes：Pulse information, blood pressure
In information, body temperature information, movement state information, body posture information at least one.
12. methods as described in claim 1,5 to 8 any one are it is characterised in that described fisrt feature point is described first heart
Jump the crest on transmitting signal, described second feature point is the crest on described second heart beating transmitting signal.
13. methods as described in claims 1 to 3,5 to 8 any one are it is characterised in that methods described also includes：
Corresponding operating is executed according to recognition result.
14. methods as claimed in claim 13 are it is characterised in that described execution corresponding operating includes：Switching working mode, carry
In awake user, matching unit at least one.
15. methods as described in claims 1 to 3,5 to 8 any one are it is characterised in that methods described also includes：
Obtain a second sensor information；
Recognition result and described second sensor information are sent to other equipment.
16. methods as described in claims 1 to 3,5 to 8 any one are it is characterised in that described target limbs include：Handss, arm
Arm, shoulder, foot or lower limb.
A kind of 17. identification equipment are it is characterised in that described equipment includes：
One first acquisition module, for obtaining one first heart beating transmitting signal of a reference position on body；
One second acquisition module, for obtaining one second heart beating transmitting signal on the target limbs of described body；
One identification module, for described according at least to described first heart beating transmitting signal and described second heart beating transmitting signal identification
Target limbs are left limb or right limb；
Wherein, described identification module includes：
One very first time acquiring unit, for obtain the fisrt feature point on described first heart beating transmitting signal corresponding when
Between；
One second time acquisition unit, corresponding with described fisrt feature point on described second heart beating transmitting signal for obtaining
The second feature point corresponding time；
One recognition unit, for according at least to described fisrt feature point corresponding time and described second feature point corresponding time
Identify that described target limbs are left limb or right limb.
18. equipment as claimed in claim 17 are it is characterised in that described identification module also includes：
One pattern determining unit, for determining that current recognition mode is the first recognition mode or the second recognition mode；
One policy determining unit, chooses described fisrt feature point and described second feature point for determining according to current recognition mode
Strategy.
19. equipment as claimed in claim 18 it is characterised in that described recognition unit, for according at least to current identification mould
Formula, and described fisrt feature point corresponding time and described second feature point corresponding time identify that described target limbs are left
Limb or right limb.
20. equipment as claimed in claim 19 are it is characterised in that described recognition unit includes：
One first identification subelement, for being described first recognition mode in response to described current recognition mode, according to a reference
The time difference identification of time difference and described fisrt feature point corresponding time and described second feature point corresponding time is described
Target limbs are left limb or right limb.
21. equipment as claimed in claim 19 are it is characterised in that described recognition unit includes：
One second identification subelement, for being described second recognition mode in response to described current recognition mode, according to described the
The precedence relationship of the time of one Feature point correspondence and described second feature point corresponding time identifies that described target limbs are left limbs
Or right limb.
22. equipment as described in any one of claim 19 to 21 are it is characterised in that described equipment also includes：
One first sensor module, for obtaining a first sensor information.
23. equipment as claimed in claim 22 it is characterised in that described identification module, for according to described current identification mould
Formula, described first sensor information, and described fisrt feature point corresponding time and described second feature point corresponding time
Identify that described target limbs are left limb or right limb.
24. equipment as described in any one of claim 17 to 21 are it is characterised in that described equipment also includes：
One performing module, for executing corresponding operating according to recognition result.
25. equipment as described in any one of claim 17 to 21 are it is characterised in that described equipment also includes：
One second sensor module, for obtaining a second sensor information；
One sending module, for being sent to other equipment by recognition result and described second sensor information.
26. equipment as described in any one of claim 17 to 21 are it is characterised in that described equipment is Wearable.
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| CN104199543A (en) * | 2014-08-26 | 2014-12-10 | 北京智谷技术服务有限公司 | Leading limb identification method and system |
| CN104615239B (en) * | 2014-12-29 | 2018-07-06 | 北京智谷睿拓技术服务有限公司 | Exchange method and interactive device, wearable device based on wearable device |
| CN104656895B (en) | 2015-02-10 | 2018-02-02 | 北京智谷睿拓技术服务有限公司 | It is determined that the method and apparatus of input information |
| CN104699241B (en) * | 2015-02-10 | 2018-04-06 | 北京智谷睿拓技术服务有限公司 | It is determined that the method and apparatus at action and/or action position |
| CN104699242B (en) | 2015-02-10 | 2018-04-06 | 北京智谷睿拓技术服务有限公司 | It is determined that the method and apparatus at action and/or action position |
| CN106264512A (en) * | 2015-05-21 | 2017-01-04 | 北京智谷睿拓技术服务有限公司 | Input information determines method and apparatus |
| CN106293023B (en) * | 2015-05-21 | 2020-12-25 | 北京智谷睿拓技术服务有限公司 | Attitude determination method and equipment |
| CN106293024B (en) * | 2015-05-21 | 2021-03-16 | 北京智谷睿拓技术服务有限公司 | Attitude determination method and equipment |
| CN106371816B (en) * | 2015-10-21 | 2020-11-27 | 北京智谷睿拓技术服务有限公司 | Left-right hand determination method and device |
| CN105573495B (en) * | 2015-12-14 | 2020-06-23 | 联想(北京)有限公司 | Information processing method and wearable device |
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| US9426229B2 (en) * | 2012-06-29 | 2016-08-23 | Nokia Technologies Oy | Apparatus and method for selection of a device for content sharing operations |
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| CN103733161A (en) * | 2011-08-04 | 2014-04-16 | 高通股份有限公司 | Sensor-based user interface control |
| CN103393414A (en) * | 2013-08-23 | 2013-11-20 | 江苏惠通集团有限责任公司 | Physiological index detector |
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