CN104750386A - Gesture recognition method and device - Google Patents
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Abstract
The invention relates to the gesture recognition technology, in particular to a gesture recognition method and device. The method includes the steps that when a preset gesture recognition event is triggered, the acceleration value measured by an acceleration sensor in a mobile device is acquired regularly; for each moment at which the acceleration value is acquired, the acceleration change value corresponding to the moment is calculated according to the acquired acceleration value, and the type of a user gesture is recognized according to the currently-calculated acceleration change value; when the recognized type of the user gesture is the preset gesture type, gesture recognition operation is stopped. By the adoption of the method, the type of the user gesture is recognized according to the change trend of the acceleration change values along with time, gesture recognition accuracy is improved, and user experience is improved.
Description
Technical field
The present invention relates to Gesture Recognition, particularly relate to a kind of gesture identification method and device.
Background technology
The mobile devices such as current smart mobile phone, panel computer are all with acceleration transducer, by the type (shaking a shake to do as identified) of acceleration transducer identification user gesture, and default user's gesture motion is set to the trigger condition of predeterminable event.
In existing gesture identification method, calculate the displacement of mobile device along X-direction, default Y direction and the default Z-direction preset respectively mainly through following formula:
X＝(x1-x0)*(x1-x0)；
Y＝(y1-y0)*(y1-y0)；
Z＝(z1-z0)*(z1-z0)；
Wherein, x0 and x1 is respectively mobile device in the initial position of X-direction and final position, y0 and y1 is respectively mobile device in the initial position of Y direction and final position, z0 and z1 is respectively mobile device in the initial position of Z-direction and final position.Determine that when X>M||Y>M||Z>M the type of user's gesture is done for shaking a shake, M is default distance threshold.
The false recognition rate of existing gesture identification method is higher, such as, when mobile device gets rid of to the right, namely can be judged as and shake a shake work, but reality has been whipping once, does not shake the work that bobs.
Summary of the invention
The object of the invention is to propose a kind of gesture identification method and device, to improve the accuracy rate of gesture identification.
On the one hand, the embodiment of the present invention provides a kind of gesture identification method, comprising:
When the gesture identification event preset is triggered, the accekeration that in timing acquisition mobile device, acceleration transducer records;
For the moment of each acquisition accekeration, calculate acceleration change value corresponding to this moment according to the accekeration that obtained, and according to the type of the current acceleration change value identification user gesture calculated;
Operate for stopping gesture identification during default gesture-type in the type of the user's gesture identified.
On the other hand, embodiments provide a kind of gesture identifying device, comprising:
Acceleration obtainment unit, during for being triggered in the gesture identification event preset, the accekeration that in timing acquisition mobile device, acceleration transducer records;
Changing value computing unit, calculates acceleration change value corresponding to this moment for the moment for each acquisition accekeration according to the accekeration that obtained;
Gesture identification unit, for the moment for each acquisition accekeration according to the type of the current acceleration change value identification user gesture calculated;
Identifying stop element, operating for stopping gesture identification during default gesture-type for the type in the user's gesture identified.
The gesture identification method that the embodiment of the present invention provides and device, improve the accuracy rate of gesture identification.When the method is by being triggered in the gesture identification event preset, the accekeration that in timing acquisition mobile device, acceleration transducer records, for the moment of each acquisition accekeration, acceleration change value corresponding to this moment is calculated according to the accekeration that obtained, and according to the type of the current acceleration change value identification user gesture calculated, and operate for stopping gesture identification during default gesture-type in the type of the user's gesture identified, the method is worth the type of time dependent trend identification user gesture according to acceleration change, improve the accuracy rate of gesture identification, improve Consumer's Experience.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide the further understanding to the embodiment of the present invention, forms a part for the embodiment of the present invention, does not form the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the realization flow figure of a kind of gesture identification method provided in first embodiment of the invention;
Fig. 2 is the realization flow figure of a kind of gesture identification method provided in second embodiment of the invention;
Fig. 3 is that acceleration change corresponding to the X-direction of drawing in second embodiment of the invention is worth time dependent trend map;
Fig. 4 is the structural representation of a kind of gesture identifying device provided in third embodiment of the invention.
Embodiment
Below in conjunction with drawings and the specific embodiments, the embodiment of the present invention is carried out more in detail and complete explanation.Be understandable that, specific embodiment described herein is only for explaining the embodiment of the present invention, but not the restriction to the embodiment of the present invention.It also should be noted that, for convenience of description, illustrate only the part relevant to the embodiment of the present invention in accompanying drawing but not full content.
First embodiment:
Fig. 1 is the realization flow figure of a kind of gesture identification method provided in first embodiment of the invention, the method can be performed by gesture identifying device, wherein this device can by software and/or hardware implementing, and the part that can be used as mobile device is built in mobile device inside.As shown in Figure 1, this realization flow comprises:
Step 11, preset gesture identification event be triggered time, the accekeration that in timing acquisition mobile device, acceleration transducer records.
Wherein, the gesture identification event preset in mobile device can comprise the identification event of multiple default gesture-type, and default gesture-type comprises shakes a shake work, whipping action etc.The default gesture motion recognized can be used as the trigger condition of predetermined registration operation, shake a shake to do to perform other the micro-credit households shaking a shake and do the trigger match same period as recognized under micro-letter application scenarios, whipping action is recognized in the process of displaying audio file, can trigger audio blocked operation.
Exemplary, when user clicks default gesture identification button or clicks gesture identification button (pressing volume key as long) with predetermined manner, default gesture identification event is triggered.Mobile device timing (as every 100ms) obtains the linear acceleration value vx along X-direction, the linear acceleration value vy along Y direction that acceleration transducer records and along at least one in the linear acceleration value vz of Z-direction.
Step 12, moment for each acquisition accekeration, calculate acceleration change value corresponding to this moment according to the accekeration obtained, and according to the type of the current acceleration change value identification user gesture calculated.
For the moment of each acquisition acceleration, after calculating acceleration change value corresponding to this moment, also draw according to the acceleration change value that this moment is corresponding or upgrade described trend map, and mate with predefined gesture identification rule according to the trend map drawn, identify the type of user's gesture.
Wherein, the accekeration that described foundation has obtained calculates the acceleration change value in this moment, can comprise: the transition accekeration calculating this moment according to the accekeration obtained; Calculate the difference between the accekeration of this moment acquisition and the transition accekeration in this moment, obtain the acceleration change value in this moment.
Exemplary, for the moment of each acquisition acceleration, according at least one accekeration obtained before this moment, the transition accekeration in this moment can be determined, and then calculate the acceleration change value in this moment.
Wherein, the described type according to the current acceleration change value identification user gesture calculated, can comprise:
A, for each preset direction, acceleration change value according to the current each moment calculated is drawn acceleration change corresponding to this direction and is worth time dependent trend map, wherein, preset direction comprises at least one in default X-direction, Y direction and Z-direction.
Exemplary, at the trend map that initial time is drawn, and upgrade trend map in other moment except initial time.
B, the trend map drawn by each preset direction mate with predefined gesture identification rule, identify the type of user's gesture.
Exemplary, when trend map mates with predefined first gesture recognition rule, determine that the type of user's gesture is first gesture; When trend map mates with predefined second gesture recognition rule, determine that the type of user's gesture is the second gesture.
In order to avoid identifying by mistake, also can in trend map and predefined gesture identification rule match, and determine that the type of user's gesture is the gesture-type of the gesture identification rule correspondence matched when time span corresponding to trend map is less than default time span threshold value.Described default time span threshold value can be 2s.
Step 13, the stopping gesture identification operation when the type of the user's gesture identified is default gesture-type.
The gesture identification method provided in the present embodiment, by the accekeration that acceleration transducer in timing acquisition mobile device records, calculate the acceleration change value in each moment, and according to the type of acceleration change value identification user gesture calculated, and operate for stopping gesture identification during default gesture-type in the type of the user's gesture identified, the method is worth the type of time dependent trend identification user gesture according to acceleration change, improve the accuracy rate of gesture identification, improve Consumer's Experience.
Further, the transition accekeration that the accekeration that described foundation has obtained calculates this moment can comprise:
A, when this moment is not initial time, the smoothing process of accekeration vi obtained this moment according to following formula, obtains the transition accekeration gi in this moment:
gi＝alpha*gi'+(1-alpha)*vi；
Wherein, i comprises x, y and z, represents default X-axis, Y-axis and Z-direction respectively, and alpha is default acceleration correction parameter, and span is (0,1), and gi' was transition accekeration corresponding to a upper moment in this moment.
B, when this moment is initial time, the accekeration that this moment obtains is defined as the transition accekeration in this moment.
Further, the described trend map drawn by each preset direction mates with predefined gesture identification rule, identify the type of user's gesture, can comprise: the trend map corresponding at the arbitrary preset direction drawn comprises an adjacent downtrending and an ascendant trend, and the crest of this trend map amplitude corresponding with trough is when being all greater than default acceleration rate threshold, determine that user's gesture is do along a shake of shaking of this preset direction.Therefore the method can not only determine that the type of gesture can also identify the direction of gesture.
Second embodiment:
The present embodiment provides a kind of recognition methods of shaking a shake and doing on the basis of above-described embodiment.Fig. 2 is the realization flow figure shaking the recognition methods that a shake is done provided in second embodiment of the invention, and as shown in Figure 2, this realization flow comprises:
Step 21, when the identification event of shaking preset is triggered, obtain every 100ms the accekeration that acceleration transducer records in mobile device.
Step 22, moment for each acquisition accekeration, when this moment is not initial time, according to following formula, calculate the transition accekeration in this moment:
gx＝alpha*gx'+(1-alpha)*vx；
gy＝alpha*gy'+(1-alpha)*vy；
gz＝alpha*gz'+(1-alpha)*vz；
Wherein, vx, vy and vz represent that this moment obtains respectively along the X-direction preset, the accekeration of Y direction and Z-direction, gx', gy' and gz' represent respectively a upper moment in this moment corresponding along preset X-direction, the transition accekeration of Y direction and Z-direction, gx, gy and gz represent respectively this moment corresponding along preset X-direction, the transition accekeration of Y direction and Z-direction, alpha is default acceleration correction parameter, span is (0, 1), close to 1, the value of alpha more represents that the proportion of the last transition accekeration obtained is larger.
It should be noted that, the accekeration that initial time obtains is defined as the transition accekeration of initial time.
Step 23, moment for each acquisition accekeration, the acceleration change value according to following this moment of formulae discovery:
mx＝vx-gx；
my＝vy-gy；
mz＝vz-gz；
Wherein, mx, my and mz represent respectively this moment corresponding along preset X-direction, the acceleration change value of Y direction and Z-direction.
Step 24, for each preset direction, acceleration change value according to the current each moment calculated is drawn acceleration change corresponding to this direction and is worth time dependent trend map, wherein, preset direction comprises at least one in default X-direction, Y direction and Z-direction.
When the identification event of shaking preset is triggered, draws described trend map and regularly upgrade described trend map.Concrete, draw described trend map at initial time, when other except initial time obtain accekeration, the acceleration change value utilizing this moment corresponding upgrades described trend map.
Fig. 3 is that acceleration change corresponding to the X-direction of drawing in second embodiment of the invention is worth time dependent trend map, as shown in Figure 3, described trend map with time t for abscissa axis, with acceleration change value mx corresponding to X-direction for axis of ordinates.
Step 25, comprise an adjacent downtrending and an ascendant trend at trend map corresponding to arbitrary preset direction drawn, and the crest of this trend map amplitude corresponding with trough is when being all greater than default acceleration rate threshold, determine that user's gesture is do along a shake of shaking of this preset direction.
Preset acceleration rate threshold arranged as required by user, as described in acceleration rate threshold can be 8.As shown in Figure 3, trend map corresponding to 0-1300ms time period meets and above-mentionedly shakes recognition rule, therefore determines that user's gesture is do along a shake of shaking of this X-direction.
Step 26, the type of the user's gesture identified be along preset direction shake when a shake is done stop gesture identification operation.
What provide in the present embodiment shakes recognition methods, is worth time dependent trend identification and shakes a shake work, not only increase the recognition accuracy shaking a shake and do, can also identify the direction of shaking a shake and doing, enrich Consumer's Experience according to acceleration change.
3rd embodiment:
Fig. 4 is the structural representation of the gesture identifying device provided in third embodiment of the invention, and this device can be built in mobile device inside.As shown in Figure 4, this gesture identifying device can comprise acceleration obtainment unit 31, changing value computing unit 32, gesture identification unit 33 and identify stop element 34.
Wherein, when acceleration obtainment unit 31 is for being triggered in the gesture identification event preset, the accekeration that in timing acquisition mobile device, acceleration transducer records;
Changing value computing unit 32 calculates acceleration change value corresponding to this moment for the moment for each acquisition accekeration according to the accekeration that obtained;
Gesture identification unit 33 for the moment for each acquisition accekeration according to the type of the current acceleration change value identification user gesture calculated;
Identify that stop element 34 operates for stopping gesture identification during default gesture-type for the type in the user's gesture identified.
Wherein, described changing value computing unit 32 can comprise:
Transition computation subunit, for the moment for each acquisition accekeration, calculates the transition accekeration in this moment according to the accekeration obtained;
Changing value computation subunit, for the moment for each acquisition accekeration, calculates the difference between the accekeration of this moment acquisition and the transition accekeration in this moment, obtains the acceleration change value in this moment.
Wherein, described transition computation subunit can comprise:
First Transition value subelement, for the moment for each acquisition accekeration, when this moment is not initial time, the smoothing process of accekeration vi obtained this moment according to following formula, obtains the transition accekeration gi in this moment:
gi＝alpha*gi'+(1-alpha)*vi；
Wherein, i comprises x, y and z, represents default X-axis, Y-axis and Z-direction respectively, and alpha is default acceleration correction parameter, and span is (0,1), and gi' was transition accekeration corresponding to a upper moment in this moment;
Second transition value subelement, for when this moment is initial time, is defined as the transition accekeration in this moment by the accekeration that this moment obtains.
Wherein, described gesture identification unit 33 can comprise:
Trend map draws subelement, for for each preset direction, acceleration change value according to the current each moment calculated is drawn acceleration change corresponding to this direction and is worth time dependent trend map, wherein, preset direction comprises at least one in default X-direction, Y direction and Z-direction;
Type identification subelement, mates with predefined gesture identification rule for the trend map drawn by each preset direction, identifies the type of user's gesture.
Wherein, described type identification subelement specifically for:
The trend map corresponding at the arbitrary preset direction drawn comprises an adjacent downtrending and an ascendant trend, and the crest of this trend map amplitude corresponding with trough is when being all greater than default acceleration rate threshold, determine that user's gesture is do along a shake of shaking of this preset direction.
In the gesture identifying device provided in the present embodiment, by the accekeration that acceleration transducer in acceleration obtainment unit timing acquisition mobile device records, changing value computing unit calculates acceleration change value corresponding to moment of each acquisition accekeration, gesture identification unit is according to the type of the current acceleration change value identification user gesture calculated, and identify that the type of stop element in the user's gesture identified is for stopping gesture identification operation when presetting gesture-type, this device is worth the type of time dependent trend identification user gesture according to acceleration change, improve the accuracy rate of gesture identification, improve Consumer's Experience.
Be only the preferred embodiment of the embodiment of the present invention described in upper, be not limited to the embodiment of the present invention, to those skilled in the art, the embodiment of the present invention can have various change and change.Any amendment done within all spirit in the embodiment of the present invention and principle, equivalent replacement, improvement etc., within the protection domain that all should be included in the embodiment of the present invention.
Claims (10)
1. a gesture identification method, is characterized in that, comprising:
When the gesture identification event preset is triggered, the accekeration that in timing acquisition mobile device, acceleration transducer records;
For the moment of each acquisition accekeration, calculate acceleration change value corresponding to this moment according to the accekeration that obtained, and according to the type of the current acceleration change value identification user gesture calculated;
Operate for stopping gesture identification during default gesture-type in the type of the user's gesture identified.
2. method according to claim 1, is characterized in that, the accekeration that described foundation has obtained calculates the acceleration change value in this moment, comprising:
The transition accekeration in this moment is calculated according to the accekeration obtained;
Calculate the difference between the accekeration of this moment acquisition and the transition accekeration in this moment, obtain the acceleration change value in this moment.
3. method according to claim 2, is characterized in that, the accekeration that described foundation has obtained calculates the transition accekeration in this moment, comprising:
When this moment is not initial time, the smoothing process of accekeration vi obtained this moment according to following formula, obtains the transition accekeration gi in this moment:
gi＝alpha*gi'+(1-alpha)*vi；
Wherein, i comprises x, y and z, represents default X-axis, Y-axis and Z-direction respectively, and alpha is default acceleration correction parameter, and span is (0,1), and gi' was transition accekeration corresponding to a upper moment in this moment;
When this moment is initial time, the accekeration that this moment obtains is defined as the transition accekeration in this moment.
4. method according to claim 1, is characterized in that, the described type according to the current acceleration change value identification user gesture calculated, comprising:
For each preset direction, acceleration change value according to the current each moment calculated is drawn acceleration change corresponding to this direction and is worth time dependent trend map, wherein, preset direction comprises at least one in default X-direction, Y direction and Z-direction;
The trend map drawn by each preset direction mates with predefined gesture identification rule, identifies the type of user's gesture.
5. method according to claim 4, is characterized in that, the described trend map drawn by each preset direction mates with predefined gesture identification rule, identifies the type of user's gesture, comprising:
The trend map corresponding at the arbitrary preset direction drawn comprises an adjacent downtrending and an ascendant trend, and the crest of this trend map amplitude corresponding with trough is when being all greater than default acceleration rate threshold, determine that user's gesture is do along a shake of shaking of this preset direction.
6. a gesture identifying device, is characterized in that, comprising:
Acceleration obtainment unit, during for being triggered in the gesture identification event preset, the accekeration that in timing acquisition mobile device, acceleration transducer records;
Changing value computing unit, calculates acceleration change value corresponding to this moment for the moment for each acquisition accekeration according to the accekeration that obtained;
Gesture identification unit, for the moment for each acquisition accekeration according to the type of the current acceleration change value identification user gesture calculated;
Identifying stop element, operating for stopping gesture identification during default gesture-type for the type in the user's gesture identified.
7. device according to claim 6, is characterized in that, described changing value computing unit comprises:
Transition computation subunit, for the moment for each acquisition accekeration, calculates the transition accekeration in this moment according to the accekeration obtained;
Changing value computation subunit, for the moment for each acquisition accekeration, calculates the difference between the accekeration of this moment acquisition and the transition accekeration in this moment, obtains the acceleration change value in this moment.
8. device according to claim 7, is characterized in that, described transition computation subunit comprises:
First Transition value subelement, for the moment for each acquisition accekeration, when this moment is not initial time, the smoothing process of accekeration vi obtained this moment according to following formula, obtains the transition accekeration gi in this moment:
gi＝alpha*gi'+(1-alpha)*vi；
Wherein, i comprises x, y and z, represents default X-axis, Y-axis and Z-direction respectively, and alpha is default acceleration correction parameter, and span is (0,1), and gi' was transition accekeration corresponding to a upper moment in this moment;
Second transition value subelement, for when this moment is initial time, is defined as the transition accekeration in this moment by the accekeration that this moment obtains.
9. device according to claim 6, is characterized in that, described gesture identification unit comprises:
Trend map draws subelement, for for each preset direction, acceleration change value according to the current each moment calculated is drawn acceleration change corresponding to this direction and is worth time dependent trend map, wherein, preset direction comprises at least one in default X-direction, Y direction and Z-direction;
Type identification subelement, mates with predefined gesture identification rule for the trend map drawn by each preset direction, identifies the type of user's gesture.
10. device according to claim 9, is characterized in that, described type identification subelement specifically for:
The trend map corresponding at the arbitrary preset direction drawn comprises an adjacent downtrending and an ascendant trend, and the crest of this trend map amplitude corresponding with trough is when being all greater than default acceleration rate threshold, determine that user's gesture is do along a shake of shaking of this preset direction.
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