CN108268181A - A kind of control method and device of non-contact gesture identification - Google Patents
A kind of control method and device of non-contact gesture identification Download PDFInfo
- Publication number
- CN108268181A CN108268181A CN201710005082.2A CN201710005082A CN108268181A CN 108268181 A CN108268181 A CN 108268181A CN 201710005082 A CN201710005082 A CN 201710005082A CN 108268181 A CN108268181 A CN 108268181A
- Authority
- CN
- China
- Prior art keywords
- gesture
- trunk
- hand
- gesture motion
- motion track
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/042—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by opto-electronic means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The present invention provides a kind of control method and device of non-contact gesture identification, the control method includes the following steps:S1:Store multiple default gesture motion tracks and control command corresponding with the multiple default gesture motion track;S2:Acquire image information;S3:Current target gesture motion track is identified according to image information;S4:Judge whether target gesture motion track matches with default gesture motion track, if so, performing step S5;S5:Perform corresponding control command.Interactive function is realized to the Image Acquisition of human hand by the present invention, and realize the tracking to gesture motion, have the characteristics that be not limited to that mobile terminal screen, gesture amplitude range are big, flexibility is strong, support various gestures, and accurately gesture is positioned and identified, is more in line with the usage experience of people.
Description
Technical field
The invention belongs to human-computer interactive control field, be specifically related to a kind of non-contact gesture identification control method and
Control device.
Background technology
In recent years, with the continuous development of consumer electronics and Internet technology, household electrical appliance such as washing machine, ice
The control mode of case, air-conditioning, TV etc. also experienced mechanical key operation and touch key-press operation, but no matter mechanical key also
It is that touch key-press is required for passing near the finger of people or other active components to go to contact to realize, and can not achieve compared with long distance
From non-contact control.Contactless mode of operation will be following developing direction, gesture control, voice control, face
The contactless operations modes such as identification bring great convenience for the live and work of people, have broken away from remote controler, by keying
The constraint of system etc., people can realize human-computer interaction with most naturally comfortable mode.Wherein, image recognition technology is to realize non-connect
One important channel of touch operation.
Chinese patent 201210056083.7 discloses a kind of the non-contact of mobile terminal on gestural control method at present
Formula control system and method, this method is by acquiring the video image in front and extracting gesture profile, but can only be according to human hand
The direction of motion sends out order, and when gesture motion direction is excessive, fineness is not high.
The following defect of gestural control method generally existing that current oneself has:Mobile terminal screen is often only limitted to, simultaneously
It can not realize the accurate tracking and identification to gesture, be easy to cause maloperation and with losing phenomenon, reduce the usage experience of user.
Invention content
The object of the present invention is to provide a kind of control methods of non-contact gesture identification, pass through the Image Acquisition to human hand
It realizes interactive function, and realizes the tracking to gesture motion, have and be not limited to mobile terminal screen, gesture amplitude range
Greatly, flexibility is strong, supports the characteristics of various gestures.
The present invention also aims to provide a kind of to identify the control dress realized to equipment by non-contact gesture
It puts.
To achieve the above object, the present invention uses following technical scheme:
A kind of control method of non-contact gesture identification, it is characterised in that:Include the following steps:
S1:It stores multiple default gesture motion tracks and control corresponding with the multiple default gesture motion track is ordered
It enables;
S2:Acquire image information;
S3:Current target gesture motion track is identified according to image information;
S4:Judge whether target gesture motion track matches with default gesture motion track, if so, performing step S5;
S5:Perform corresponding control command.
Further, step S3 includes:
S31:According to acquisition image information, in the case that trunk does not have apparent motion in preset time period, trunk is identified
Image determines target gesture motion region;
S32:Target gesture motion track is obtained in determining target gesture motion regional extent.
Specifically, in the case that step S31 is not including trunk has apparent motion in preset time period, with trunk
The region for expanding predetermined percentage is target gesture motion region.
Specifically, step S32 is included in determining target gesture motion regional extent, it is special to extract the shape sold
Sign obtains target gesture motion track in the front of trunk using hand as the initial position of identification gesture.
According to some embodiments of the present invention, the movement rail of gesture is with the either opposite position of angular turn in step S32
Put movement.
Further, when the movement locus for obtaining gesture is with angular turn, using elbow or wrist as origin, hand and hand
Arm integrally slides the angle of 20-25 degree to the left from origin, then is defined as primary left work or hand and the arm entirety slided from origin
The angle of 20-25 degree is slided to the right, then is defined as primary right work or hand and the arm entirety slided from origin upward sliding 20-
25 degree of angle is then defined as once upper slip work or hand and the whole angle from origin slide downward 20-25 degree of arm,
Then it is defined as primary downslide action.
Further, when the movement locus for obtaining gesture is relative position movement, hand is integrally moved to the left relative to trunk
More than or equal to the distance of 1/2 hand length, then it is defined as primary left slip work or hand integrally moves right relative to trunk
More than or equal to the distance of 1/2 hand length, then be defined as it is primary it is right slide make or hand it is whole relative to trunk to moving up
The dynamic distance for being more than or equal to 1/2 hand length, then be defined as once it is upper slide make or hand it is whole relative to trunk to moving down
The dynamic distance for being more than or equal to 1/2 hand length, then be defined as primary downslide action or hand is whole from source location set water
The distance for being more than or equal to 1/2 hand length to slip in front of trunk is equalled, then is defined as once pressing action.
According to some embodiments of the present invention, the present invention also provides a kind of non-contact gesture identification control device,
The control device includes:
Default unit module, for storing multiple default gesture motion tracks and dividing with the multiple default gesture motion track
Not corresponding control command;
Image capture module, for acquiring image information;
Recognition processing module identifies current target gesture motion track according to image information, judges target gesture motion track
Whether match with default gesture motion track;
Control module, for performing corresponding control command.
Further, the recognition processing module is according to acquisition image information, and in preset time period, trunk is not apparent
In the case of movement, identify trunk image, determine target gesture motion region;In determining target gesture motion region model
Enclose interior acquisition target gesture motion track.
Further, the recognition processing module is according to acquisition image information, and in preset time period, trunk is not apparent
In the case of movement, using the region of trunk expansion predetermined percentage as target gesture motion region, in determining target hand
In potential motion regional extent, extract the resemblance sold, using hand the front of trunk as identification gesture initial position,
Obtain target gesture motion track.
Compared with prior art, beneficial effects of the present invention:
1st, the present invention accurately can be positioned and be identified to gesture, be more in line with the usage experience of people.
2nd, the present invention realizes interactive function by the Image Acquisition to human hand, and realizes the tracking to gesture motion, tool
It is not limited to the characteristics of mobile terminal screen, gesture amplitude range are big, flexibility is strong, support various gestures.
3rd, relative to the control method of mouse, remote controler or data glove, this control method does not need to user and contacts control
Equipment or using auxiliary tool, reduces burden when using.
Description of the drawings
Fig. 1 is the flow chart of the control method of the non-contact gesture identification of the embodiment of the present invention;
Fig. 2 is the flow chart of step 3 in the control method that the non-contact gesture of the embodiment of the present invention identifies;
Fig. 3 is the frame diagram realized by non-contact gesture identification to the control device of equipment of the embodiment of the present invention;
Fig. 4 is the slip gesture to the left in an embodiment of the present invention;
Fig. 5 is the slip gesture to the right in an embodiment of the present invention;
Fig. 6 is the upward sliding gesture in an embodiment of the present invention;
Fig. 7 is the slide downward gesture in an embodiment of the present invention;
Fig. 8 is the push gesture in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of not making the creative labor
Embodiment shall fall within the protection scope of the present invention.
A kind of control method of non-contact gesture identification provided in an embodiment of the present invention is described referring to attached drawing.It needs
Illustrate, the equipment can be with washing machine, refrigerator, air-conditioning, TV etc..
As shown in Figure 1, a kind of control method of non-contact gesture identification, includes the following steps:
S1:It stores multiple default gesture motion tracks and control corresponding with the multiple default gesture motion track is ordered
It enables;
S2:Acquire image information;
S3:Current target gesture motion track is identified according to image information;
S4:Judge whether target gesture motion track matches with default gesture motion track, if so, performing step S5;
S5:Perform corresponding control command.
Specifically, the movement locus for the various gestures that can prestore in S1 steps, can include pressing gesture path, separate hand
Gesture track, left sliding gesture path, right sliding gesture path, upper sliding gesture path, downslide gesture path etc., these different hands that prestore
Gesture track both can be individually associated with a control signal, can also be combined and be associated with a control signal.Such as:Left cunning
Gesture path can be associated with improving the control signal such as volume, heating, heating, advance:Right sliding gesture path, can be with reducing sound
The control signal association such as amount, cooling, cooling, retrogressing:Push gesture can be associated with switch control signal.
Specifically, acquiring the method that the prior art may be used in image in S2 steps, can be acquired by image acquisition device
The image of operator or the image by acquisition operations persons such as infrared, ultrasonic waves, can also be by of the prior art a variety of
Sensor, the specific number of the sensor are configured as needed, and the embodiment of the present invention is to the concrete configuration number of sensor
Amount does not limit.
In an embodiment of the present invention, step S3 further comprises:
S31:According to acquisition image information, in the case that trunk does not have apparent motion in preset time period, trunk is identified
Image determines target gesture motion region;
S32:Target gesture motion track is obtained in determining target gesture motion regional extent.
Wherein, in the case that trunk does not have apparent motion in preset time period, predetermined percentage is expanded with trunk
Region be target gesture motion region.In determining target gesture motion regional extent, the resemblance sold is extracted, with
Hand, as the initial position for identifying gesture, obtains the movement locus of gesture in the front of trunk.Preferably, the preset period
Can be 2s;Preferably, the region for expanding predetermined percentage with trunk can expand 10 as target gesture motion
Region.It is positioned and is determined that the gesture motion track prepared has to gesture using aforesaid way and be not limited to mobile terminal
Screen, gesture amplitude range are big, flexibility is strong, support the characteristics of various gestures.
In the following, it will be explained in the specific processing of gesture identification control method according to embodiments of the present invention.
With reference to shown in Fig. 1, in the case that trunk does not have apparent motion in 2 seconds, expand 10 with trunk and make
For target gesture motion region, using hand in the front of trunk as the initial position of identification gesture, using elbow or wrist as
The whole angle for sliding α (20-25 degree) to the left of origin, hand and arm is then defined as primary left slide and makees.
With reference to shown in Fig. 2, in the case that trunk does not have apparent motion in 2 seconds, expand 10 with trunk and make
For target gesture motion region, using hand in the front of trunk as the initial position of identification gesture, using elbow or wrist as
The whole angle for sliding α (20-25 degree) to the right of origin, hand and arm is then defined as primary left slide and makees.
With reference to shown in Fig. 3, in the case that trunk does not have apparent motion in 2 seconds, expand 10 with trunk and make
For target gesture motion region, using hand in the front of trunk as the initial position of identification gesture, using elbow or wrist as
Origin, hand and arm entirety upward sliding α (20-25 degree) degree are then defined as once upper slide and make.
With reference to shown in Fig. 4, in the case that trunk does not have apparent motion in 2 seconds, expand 10 with trunk and make
For target gesture motion region, using hand in the front of trunk as the initial position of identification gesture, using elbow or wrist as
Origin, hand and arm entirety slide downward α (20-25 degree) degree are then defined as primary downslide action.
With reference to shown in Fig. 5, in the case that trunk does not have apparent motion in 2 seconds, expand 10 with trunk and make
For target gesture motion region, using hand in the front of trunk as the initial position of identification gesture, hand and arm are whole from
Beginning position is more than or equal to the distance of 1/2 hand length to slip in front of trunk, then is defined as once pressing action.
Further, judge whether gesture motion track is made that pre-set gesture motion track, if setting in advance
One kind in the gesture motion track put, and provide the gesture motion track specifically made and belong in the gesture motion track of definition
It is any, perform corresponding control command.If the gesture motion track of identification is not pre-set gesture motion track
One kind in fixed, then continue the detection of gesture motion track, until completing relevant control instruction.
The above embodiment of the present invention additionally provides a kind of control device of non-contact gesture identification, as shown in Fig. 2, institute
The device stated includes:Default unit module 101, image capture module 102, recognition processing module 103 and control module 104.
Default unit module 101, for store multiple default gesture motion tracks and with the multiple default gesture motion
The corresponding control command in track;
Image capture module 102, for acquiring image information;
Recognition processing module 103 identifies current target gesture motion track according to image information, judges target gesture motion rail
Whether mark matches with default gesture motion track;
Control module 104 performs corresponding control command.
In conclusion control method and device of the present invention to equipment, by image capture module 102, acquisition is schemed in real time
Picture in the case that trunk does not have apparent motion in 2 seconds, after detecting trunk and hand-type, passes through recognition processing module
103 resemblances sold of extraction, remember virtual long and virtual wide and operator the body trunk of lower hand-type size and
Position determines the moving region of gesture, remembers the lower coordinate position of hand-type in the picture, the hand is just detected again every 0.02s
The size and location of the new coordinate position and size of type and the body trunk of operator, and these data are preserved and are remembered, really
The movement locus of gesture is made, " is pressed according to pre-set in default unit module 101 within the defined gesture identification time
Operating gesture ", " slip gesture to the left ", " slip gesture to the right ", " upward sliding gesture " and " slide downward gesture " it is detailed
The one kind for defining and judging whether hand-type is made that in five kinds of definition of gesture with reference to the hand-type characteristic that real-time judge is remembered
Gesture, and provide the gesture specifically made and belong to any in definition gesture.Judge five kinds of recognition processing module 103
Gesture-type signal is sent to control module 104, and the control module 104 is provided with central controller, central controller according to
The types of functionality of signal control device received.
Embodiment 2
With embodiment 1 the difference is that " the push gesture ", " slip gesture to the left ", " slip gesture to the right ",
The definition of " upward sliding gesture " and " slide downward gesture " also can be following mode:
In the case that trunk does not have apparent motion in 2 seconds, expand 10 as target gesture motion area using trunk
Domain, using hand in the front of trunk as the initial position of identification gesture, hand is integrally moved to the left relative to trunk to be more than or equal to
The distance of 1/2 hand length is then defined as primary left slide and makees;
In the case that trunk does not have apparent motion in 2 seconds, expand 10 as target gesture motion area using trunk
Domain, using hand in the front of trunk as the initial position of identification gesture, hand integrally moves right relative to trunk to be more than or equal to
The distance of 1/2 hand length is then defined as primary right slide and makees;
In the case that trunk does not have apparent motion in 2 seconds, expand 10 as target gesture motion area using trunk
Domain, using hand in the front of trunk as the initial position of identification gesture, hand is integrally moved up relative to trunk to be more than or equal to
The distance of 1/2 hand length is then defined as once upper slide and makees;
In the case that trunk does not have apparent motion in 2 seconds, expand 10 as target gesture motion area using trunk
Domain, using hand in the front of trunk as the initial position of identification gesture, hand is integrally moved down relative to trunk to be more than or equal to
The distance of 1/2 hand length is then defined as primary downslide action;
In the case that trunk does not have apparent motion in 2 seconds, expand 10 as target gesture motion area using trunk
Domain, using hand in the front of trunk as the initial position of identification gesture, hand entirety is in front of source location set horizontal direction trunk
The distance for being more than or equal to 1/2 hand length is slided, then is defined as once pressing action.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made
Any modification, equivalent substitution, improvement and etc. should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of control method of non-contact gesture identification, it is characterised in that:Include the following steps:
S1:It stores multiple default gesture motion tracks and control corresponding with the multiple default gesture motion track is ordered
It enables;
S2:Acquire image information;
S3:Current target gesture motion track is identified according to image information;
S4:Judge whether target gesture motion track matches with default gesture motion track, if so, performing step S5;
S5:Perform corresponding control command.
2. a kind of control method of non-contact gesture identification according to claim 1, it is characterised in that:Step S3 is into one
Step includes:
S31:According to acquisition image information, in the case that trunk does not have apparent motion in preset time period, trunk is identified
Image determines target gesture motion region;
S32:Target gesture motion track is obtained in determining target gesture motion regional extent.
3. a kind of control method of non-contact gesture identification according to claim 2, it is characterised in that:Step S31 packets
It includes in the case that trunk does not have apparent motion in preset time period, the region of predetermined percentage is expanded as mesh using trunk
Mark gesture motion region.
4. a kind of control method of non-contact gesture identification according to claim 2, it is characterised in that:In step S32
Including in determining target gesture motion regional extent, extracting the resemblance sold, using hand the front of trunk as
It identifies the initial position of gesture, obtains target gesture motion track.
5. a kind of control method of non-contact gesture identification according to claim 2, it is characterised in that:In step S32
The movement rail of gesture is with angular turn either relative position movement.
6. a kind of control method of non-contact gesture identification according to claim 5, it is characterised in that:When acquisition gesture
Movement locus when being with angular turn, using elbow or wrist as origin, hand and arm is whole slides 20-25 to the left from origin
The angle of degree, then be defined as primary left slip work or hand and arm integrally slides to the right the angle of 20-25 degree from origin, then
It is defined as primary right work or hand and the arm entirety slided from the angle of origin upward sliding 20-25 degree, then is defined as once
It is upper to slide work or hand and the whole angle from origin slide downward 20-25 degree of arm, then it is defined as primary downslide action.
7. a kind of control method of non-contact gesture identification according to claim 5, it is characterised in that:When acquisition gesture
Movement locus when being relative position movement, hand it is whole relative to trunk be moved to the left more than or equal to 1/2 hand length away from
From, then be defined as it is primary it is left slide make or hand it is whole relative to trunk move right more than or equal to 1/2 hand length away from
From being then defined as primary right slide and make or hand is whole is moved up relative to trunk more than or equal to 1/2 hand length
Distance is then defined as once upper slide and makees or hand is whole is moved down relative to trunk more than or equal to 1/2 hand length
Distance, then be defined as primary downslide action or whole slided in front of source location set horizontal direction trunk of hand is more than or equal to 1/
The distance of 2 hand lengths is then defined as once pressing action.
8. a kind of control device of non-contact gesture identification, it is characterised in that:The control device includes:
Default unit module(101), for store multiple default gesture motion tracks and with the multiple default gesture motion rail
The corresponding control command of mark;
Image capture module(102), for acquiring image information;
Recognition processing module(103), current target gesture motion track is identified according to image information, judges target gesture motion
Whether track matches with default gesture motion track;
Control module(104), for performing corresponding control command.
9. a kind of control device of non-contact gesture identification according to claim 8, it is characterised in that:The identification
Processing module(103)According to acquisition image information, in the case that trunk does not have apparent motion in preset time period, people is identified
Body trunk image determines target gesture motion region;Target gesture fortune is obtained in determining target gesture motion regional extent
Dynamic rail mark.
10. a kind of control device of non-contact gesture identification according to claim 8, it is characterised in that:The knowledge
Other processing module(103)According to acquisition image information, in the case that trunk does not have apparent motion in preset time period, with people
The region that body trunk expands predetermined percentage is target gesture motion region,
In determining target gesture motion regional extent, extract the resemblance sold, using hand the front of trunk as
It identifies the initial position of gesture, obtains target gesture motion track.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710005082.2A CN108268181A (en) | 2017-01-04 | 2017-01-04 | A kind of control method and device of non-contact gesture identification |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710005082.2A CN108268181A (en) | 2017-01-04 | 2017-01-04 | A kind of control method and device of non-contact gesture identification |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108268181A true CN108268181A (en) | 2018-07-10 |
Family
ID=62770844
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710005082.2A Pending CN108268181A (en) | 2017-01-04 | 2017-01-04 | A kind of control method and device of non-contact gesture identification |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108268181A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108958490A (en) * | 2018-07-24 | 2018-12-07 | Oppo(重庆)智能科技有限公司 | Electronic device and its gesture identification method, computer readable storage medium |
CN109151312A (en) * | 2018-09-04 | 2019-01-04 | 广州视源电子科技股份有限公司 | Focusing method and device and video exhibition stand |
CN109388240A (en) * | 2018-09-25 | 2019-02-26 | 北京金茂绿建科技有限公司 | A kind of non-contact gesture control method and device |
CN109799907A (en) * | 2018-12-29 | 2019-05-24 | 北京诺亦腾科技有限公司 | Calibration method, device and the computer readable storage medium of motion capture gloves |
CN111722703A (en) * | 2019-03-22 | 2020-09-29 | 上海博泰悦臻网络技术服务有限公司 | Gesture interaction method and system |
CN112333511A (en) * | 2020-09-27 | 2021-02-05 | 深圳Tcl新技术有限公司 | Control method, device and equipment of smart television and computer readable storage medium |
CN112418080A (en) * | 2020-11-20 | 2021-02-26 | 江苏奥格视特信息科技有限公司 | Finger action recognition method of laser scanning imager |
CN113494802A (en) * | 2020-05-28 | 2021-10-12 | 海信集团有限公司 | Intelligent refrigerator control method and intelligent refrigerator |
CN113842209A (en) * | 2021-08-24 | 2021-12-28 | 深圳市德力凯医疗设备股份有限公司 | Ultrasound apparatus control method, ultrasound apparatus, and computer-readable storage medium |
CN114323057A (en) * | 2021-12-28 | 2022-04-12 | 阿波罗智联(北京)科技有限公司 | Map display method, device, equipment and storage medium |
WO2022142830A1 (en) * | 2020-12-28 | 2022-07-07 | 展讯通信(上海)有限公司 | Application device and air gesture recognition method thereof |
WO2023024536A1 (en) * | 2021-08-27 | 2023-03-02 | 上海商汤智能科技有限公司 | Drawing method and apparatus, and computer device and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012124837A1 (en) * | 2011-03-14 | 2012-09-20 | Lg Electronics Inc. | An apparatus and a method for gesture recognition |
CN103839040A (en) * | 2012-11-27 | 2014-06-04 | 株式会社理光 | Gesture identification method and device based on depth images |
CN104331158A (en) * | 2014-10-29 | 2015-02-04 | 山东大学 | Gesture-controlled human-computer interaction method and device |
CN105045503A (en) * | 2015-07-09 | 2015-11-11 | 陈海峰 | System and method for controlling non-contact touch screen |
CN105677031A (en) * | 2016-01-04 | 2016-06-15 | 广州华欣电子科技有限公司 | Control method and device based on gesture track recognition |
-
2017
- 2017-01-04 CN CN201710005082.2A patent/CN108268181A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012124837A1 (en) * | 2011-03-14 | 2012-09-20 | Lg Electronics Inc. | An apparatus and a method for gesture recognition |
CN103839040A (en) * | 2012-11-27 | 2014-06-04 | 株式会社理光 | Gesture identification method and device based on depth images |
CN104331158A (en) * | 2014-10-29 | 2015-02-04 | 山东大学 | Gesture-controlled human-computer interaction method and device |
CN105045503A (en) * | 2015-07-09 | 2015-11-11 | 陈海峰 | System and method for controlling non-contact touch screen |
CN105677031A (en) * | 2016-01-04 | 2016-06-15 | 广州华欣电子科技有限公司 | Control method and device based on gesture track recognition |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108958490A (en) * | 2018-07-24 | 2018-12-07 | Oppo(重庆)智能科技有限公司 | Electronic device and its gesture identification method, computer readable storage medium |
CN109151312A (en) * | 2018-09-04 | 2019-01-04 | 广州视源电子科技股份有限公司 | Focusing method and device and video exhibition stand |
CN109388240A (en) * | 2018-09-25 | 2019-02-26 | 北京金茂绿建科技有限公司 | A kind of non-contact gesture control method and device |
CN109799907A (en) * | 2018-12-29 | 2019-05-24 | 北京诺亦腾科技有限公司 | Calibration method, device and the computer readable storage medium of motion capture gloves |
CN109799907B (en) * | 2018-12-29 | 2020-11-20 | 北京诺亦腾科技有限公司 | Calibration method and device for motion capture glove and computer readable storage medium |
CN111722703A (en) * | 2019-03-22 | 2020-09-29 | 上海博泰悦臻网络技术服务有限公司 | Gesture interaction method and system |
CN113494802A (en) * | 2020-05-28 | 2021-10-12 | 海信集团有限公司 | Intelligent refrigerator control method and intelligent refrigerator |
CN112333511A (en) * | 2020-09-27 | 2021-02-05 | 深圳Tcl新技术有限公司 | Control method, device and equipment of smart television and computer readable storage medium |
CN112418080A (en) * | 2020-11-20 | 2021-02-26 | 江苏奥格视特信息科技有限公司 | Finger action recognition method of laser scanning imager |
WO2022142830A1 (en) * | 2020-12-28 | 2022-07-07 | 展讯通信(上海)有限公司 | Application device and air gesture recognition method thereof |
CN113842209A (en) * | 2021-08-24 | 2021-12-28 | 深圳市德力凯医疗设备股份有限公司 | Ultrasound apparatus control method, ultrasound apparatus, and computer-readable storage medium |
CN113842209B (en) * | 2021-08-24 | 2024-02-09 | 深圳市德力凯医疗设备股份有限公司 | Ultrasonic device control method, ultrasonic device and computer readable storage medium |
WO2023024536A1 (en) * | 2021-08-27 | 2023-03-02 | 上海商汤智能科技有限公司 | Drawing method and apparatus, and computer device and storage medium |
CN114323057A (en) * | 2021-12-28 | 2022-04-12 | 阿波罗智联(北京)科技有限公司 | Map display method, device, equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108268181A (en) | A kind of control method and device of non-contact gesture identification | |
CN107289949B (en) | Indoor guidance identification device and method based on face identification technology | |
CN103353935B (en) | A kind of 3D dynamic gesture identification method for intelligent domestic system | |
CN104793731A (en) | Information input method for wearable device and wearable device | |
CN107632699B (en) | Natural human-machine interaction system based on the fusion of more perception datas | |
JP6259545B2 (en) | System and method for inputting a gesture in a 3D scene | |
JP4323180B2 (en) | Interface method, apparatus, and program using self-image display | |
CN108845668B (en) | Man-machine interaction system and method | |
GB2474536A (en) | Computer vision gesture based control by hand shape recognition and object tracking | |
CN105204351B (en) | control method and device of air conditioning unit | |
WO2018000519A1 (en) | Projection-based interaction control method and system for user interaction icon | |
CN104881122B (en) | A kind of body feeling interaction system Activiation method, body feeling interaction method and system | |
CN103116857A (en) | Virtual sample house wandering system based on body sense control | |
US20140053115A1 (en) | Computer vision gesture based control of a device | |
CN102819398A (en) | Method for slidingly controlling camera via touch screen device | |
CN103150020A (en) | Three-dimensional finger control operation method and system | |
CN104571521B (en) | Hand-written recording equipment and hand-written recording method | |
CN102841676A (en) | Webpage browsing control system and method | |
CN115930912A (en) | Enabling automatic measurements | |
CN102981625A (en) | Eye movement remote control method and system | |
CN102830891A (en) | Non-contact gesture control equipment and locking and unlocking method thereof | |
CN105242776A (en) | Control method for intelligent glasses and intelligent glasses | |
CN109839827B (en) | Gesture recognition intelligent household control system based on full-space position information | |
CN105892881A (en) | Human-computer interaction method and device, and mobile equipment | |
CN111656313A (en) | Screen display switching method, display device and movable platform |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180710 |