CN108139797A - A kind of instruction identification method - Google Patents
A kind of instruction identification method Download PDFInfo
- Publication number
- CN108139797A CN108139797A CN201680056165.8A CN201680056165A CN108139797A CN 108139797 A CN108139797 A CN 108139797A CN 201680056165 A CN201680056165 A CN 201680056165A CN 108139797 A CN108139797 A CN 108139797A
- Authority
- CN
- China
- Prior art keywords
- gesture instruction
- gesture
- module
- images
- instruction image
- 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
- 238000000034 method Methods 0.000 title claims description 27
- 230000009471 action Effects 0.000 claims description 11
- 230000001427 coherent effect Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 description 33
- 230000033001 locomotion Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
A kind of instruction identification device including gesture instruction acquisition module, for acquiring the gesture instruction image of user, and sends the gesture instruction image (S21)；Gesture instruction analysis and identification module for receiving the gesture instruction image, carries out analysis and identification to the gesture instruction image, obtains gesture instruction content, and send the obtained gesture instruction content (S22)；By control function module, for receiving the gesture instruction content, and worked (S23) according to the gesture instruction content.Above device can realize the control to function module, and a function module can not only be controlled, and multiple function modules can also be controlled simultaneously, easy to operate, easy to spread.
Description
Technical Field
The invention relates to the technical field of data processing and transmission, in particular to an instruction identification method.
Background
Due to the popularization and the promotion of the large-screen touch control equipment and the requirement of more and more functional modules such as electrical equipment for control, the gesture instruction becomes a convenient and fast operation instruction. The existing gesture command realization method includes recognizing the command content of the gesture through light or sound, for example, a gesture recognition method through infrared induction disclosed in patent application No. 201511013254.8 and a gesture recognition method and device through sound disclosed in patent application No. 201210435804.5, which can only control one functional module such as an electrical appliance through the gesture command, and the operation environment is limited and is not easy to popularize.
Disclosure of Invention
The invention aims to provide an instruction identification method.
An instruction recognition method, comprising:
the gesture instruction acquisition module acquires a gesture instruction image of a user and sends the gesture instruction image;
the gesture instruction analyzing and recognizing module receives the gesture instruction image, analyzes and recognizes the gesture instruction image to obtain gesture instruction content, and sends the obtained gesture instruction content;
and the controlled function module receives the gesture instruction content and works according to the gesture instruction content.
Wherein, gesture instruction acquisition module includes:
the camera is used for acquiring gesture instruction images of the user through shooting, and splicing the acquired gesture instruction images of the user through shooting according to a certain preset frequency according to a time sequence to form a set of complete gesture instruction images;
and the gesture instruction image sending unit is used for sending the formed complete set of gesture instruction images.
Wherein, the gesture instruction analysis and recognition module comprises: a control circuit board;
the control circuit board includes:
the storage module is used for storing a gesture instruction image of a user and forming a gesture instruction image database, and the gesture instruction image database comprises a gesture action track for controlling the controlled function module;
the microprocessor is used for receiving the formed complete set of gesture instruction images, analyzing and identifying the formed complete set of gesture instruction images, splicing the formed complete set of gesture instruction images according to a preset frequency according to a time sequence, filtering the spliced images to enable the filtered images to form a coherent gesture action track, comparing the coherent gesture action track with a gesture instruction image database formed in the storage module, obtaining gesture instruction contents according to the matching degree of the comparison, and sending the obtained gesture instruction contents;
and the control key is used for resetting the gesture instruction image database formed by the storage module according to the user requirement.
The gesture instruction analysis and recognition module is arranged on the controlled function module; and sending the obtained gesture instruction content to at least one controlled function module through a wireless communication module.
The gesture instruction identification method provided by the invention comprises the following steps: the gesture instruction acquisition module acquires a gesture instruction image of a user and sends the gesture instruction image; the gesture instruction analyzing and recognizing module receives the gesture instruction image, analyzes and recognizes the gesture instruction image to obtain gesture instruction content, and sends the obtained gesture instruction content; the controlled function module receives the gesture instruction content and works according to the gesture instruction content, so that the function module is controlled, one function module can be controlled, a plurality of function modules can be controlled simultaneously, and the control method is simple in operation and easy to popularize.
Drawings
FIG. 1 is a schematic diagram of a gesture command recognition apparatus according to the present invention;
FIG. 2 is a schematic diagram of a gesture command recognition method according to the present invention.
Detailed Description
The invention provides an instruction recognition method, which is applied to the technical field of data processing and transmission, and a gesture instruction recognition device comprises the following steps: the gesture instruction acquisition module is used for acquiring a gesture instruction image of a user and sending the gesture instruction image; the gesture instruction analyzing and identifying module is used for receiving the gesture instruction image, analyzing and identifying the gesture instruction image to obtain gesture instruction content and sending the obtained gesture instruction content; the controlled function module is used for receiving the gesture instruction content and working according to the gesture instruction content, so that the control of the function module is realized, one function module can be controlled, a plurality of function modules can be controlled simultaneously, and the control method is simple in operation and easy to popularize.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a gesture command recognition device.
Referring to fig. 1, fig. 1 is a schematic view of a gesture command recognition apparatus according to the present invention, and a gesture command recognition apparatus 10 according to the present invention includes: a gesture instruction acquisition module 101, a gesture instruction analysis and recognition module 102 and a controlled function module 103;
the gesture instruction acquisition module 101 is used for acquiring a gesture instruction image of a user and sending the gesture instruction image;
the gesture instruction analyzing and identifying module 102 is configured to receive the gesture instruction image, analyze and identify the gesture instruction image to obtain gesture instruction content, and send the obtained gesture instruction content;
and the controlled function module 103 is configured to receive the gesture instruction content and perform work according to the gesture instruction content.
Wherein, gesture instruction acquisition module 101 includes: a camera 1011, a gesture instruction image transmitting unit 1012;
the camera 1011 is used for acquiring gesture instruction images of the user through shooting, and splicing the acquired gesture instruction images of the user through shooting according to a certain preset frequency according to a time sequence to form a set of complete gesture instruction images;
a gesture command image sending unit 1012, configured to send the formed complete set of gesture command images.
The gesture command analyzing and recognizing module 102 includes: a control circuit board 1021;
a control circuit board 1021 including a memory module 10211, a microprocessor 10212;
a storage module 10211, configured to store a gesture instruction image of a user, and form a gesture instruction image database, where the gesture instruction image database includes a gesture motion trajectory for controlling the controlled function module 103;
the microprocessor 10212 is configured to receive the formed complete set of gesture instruction images, analyze and recognize the formed complete set of gesture instruction images, splice the formed complete set of gesture instruction images according to a certain preset frequency in a time sequence, filter the spliced images, form a coherent gesture motion track on the filtered images, compare the coherent gesture motion track with a gesture instruction image database formed in the storage module 10211, obtain a gesture instruction content according to the comparison conformity, and send the obtained gesture instruction content.
Wherein, control circuit board 1021 can also include: and the control key (not shown) is used for resetting the gesture instruction image database formed by the storage module 10211 according to the user requirement, and resetting the gesture instruction image database suitable for the user preference.
The gesture command analyzing and recognizing module 102 may be disposed on the controlled function module 103, and is used as a control circuit system shared by only one function device; the control system can also be used as an independent control system, is connected with a plurality of functional devices through the wireless communication module, and sends the gesture instruction image of the user to the controlled functional module 103 through the wireless communication module so as to control the work of the controlled functional module 103; and can also be arranged on the gesture instruction acquisition module 101.
The gesture command acquisition module 101 comprises a camera 1011 for acquiring gesture images, the camera 1011 splices the photographed images according to a certain frequency according to a time sequence after shooting gesture pictures of a user, so as to form a complete gesture action gallery, and after the acquisition module finishes acquisition, the complete gallery of gesture actions is sent to the gesture command analysis and recognition module 102 for analysis and recognition.
The gesture instruction analyzing and identifying module 102 comprises a control circuit board 1021, the control circuit board 1021 comprises a storage module 10211 and a microprocessor 10212, after the microprocessor 10212 receives a set of complete gesture instruction images, the storage module 10211 splices the shot images according to a fixed frequency through a time sequence, and filters the images to enable the images to form a coherent gesture motion track; in the storage module 10211, each corresponding controlled function module has an independent database, in which gesture movement tracks corresponding to each control instruction of the function module are provided, and the instructions are formed by splicing a frame of picture, after receiving a set of complete gesture instruction images, comparing the images in each frame of picture with the images of the gesture movement instructions in the storage module 10211, and then judging the gesture instruction content of the user according to the matching degree of the comparison, so as to obtain the gesture instruction content.
When the gesture command analyzing and recognizing module 102 receives a gesture command of a user, comparing an image in a gesture command track with gesture command image information stored in the storage module 10211, and after the photographed gesture command analyzing and recognizing module 102 judges that the user command is a valid command, if the user gesture track photographed by more than two commands in the storage module and the stored gesture command track are judged, and when the coincidence degree of the photographed gesture track and all stored gestures is not up to a preset value, such as 70%, the photographed gesture command is judged to be an invalid command; when the coincidence degree of the shot gesture track and the stored gesture track exceeds 70%, the gesture command is judged to be an effective command; and when the coincidence degree of the track and the gesture command track of the user exceeds a preset value, selecting the highest coincidence degree value as an output command.
The invention further provides a gesture instruction identification method.
Referring to fig. 2, fig. 2 is a schematic diagram of a gesture command recognition method according to the present invention, which includes:
s21, the gesture instruction acquisition module acquires a gesture instruction image of the user and sends the gesture instruction image;
s22, the gesture instruction analyzing and recognizing module receives the gesture instruction image, analyzes and recognizes the gesture instruction image to obtain gesture instruction content, and sends the obtained gesture instruction content;
and S23, the controlled function module receives the gesture instruction content and works according to the gesture instruction content.
The structure, function, and the like of the gesture instruction acquisition module are the same as those of the gesture instruction acquisition module 101 shown in fig. 1, and are not described herein again.
The structure, function, and the like of the gesture command analyzing and recognizing module are the same as those of the gesture command analyzing and recognizing module 102 shown in fig. 1, and are not described herein again.
The structure, function, etc. of the controlled function module are the same as those of the controlled function module 103 shown in fig. 1, and are not described herein again.
The gesture command recognition apparatus 10 according to the present invention includes: the gesture instruction acquisition module 101 is used for acquiring a gesture instruction image of a user and sending the gesture instruction image; the gesture instruction analyzing and identifying module 102 is configured to receive the gesture instruction image, analyze and identify the gesture instruction image to obtain gesture instruction content, and send the obtained gesture instruction content;
controlled function module 103 is used for receiving the gesture instruction content and working according to the gesture instruction content, so that the control of the function module is realized, one function module can be controlled, a plurality of function modules can be controlled simultaneously, and the control method is simple in operation and easy to popularize.
The gesture instruction identification method provided by the invention comprises the following steps: the gesture instruction acquisition module acquires a gesture instruction image of a user and sends the gesture instruction image; the gesture instruction analyzing and recognizing module receives the gesture instruction image, analyzes and recognizes the gesture instruction image to obtain gesture instruction content, and sends the obtained gesture instruction content; the controlled function module receives the gesture instruction content and works according to the gesture instruction content, so that the function module is controlled, one function module can be controlled, a plurality of function modules can be controlled simultaneously, and the control method is simple in operation and easy to popularize.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a system element does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the phrases "comprising" or "including.
The implementation forms of the instruction identification method are various. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
- An instruction recognition method, comprising:the gesture instruction acquisition module acquires a gesture instruction image of a user and sends the gesture instruction image;the gesture instruction analyzing and recognizing module receives the gesture instruction image, analyzes and recognizes the gesture instruction image to obtain gesture instruction content, and sends the obtained gesture instruction content;and the controlled function module receives the gesture instruction content and works according to the gesture instruction content.
- The gesture instruction recognition method according to claim 1, wherein the gesture instruction acquisition module includes:the camera is used for acquiring gesture instruction images of the user through shooting, and splicing the acquired gesture instruction images of the user through shooting according to a certain preset frequency according to a time sequence to form a set of complete gesture instruction images;and the gesture instruction image sending unit is used for sending the formed complete set of gesture instruction images.
- The gesture command recognition method of claim 2, wherein the gesture command analysis recognition module comprises: a control circuit board;the control circuit board includes:the storage module is used for storing a gesture instruction image of a user and forming a gesture instruction image database, and the gesture instruction image database comprises a gesture action track for controlling the controlled function module;the microprocessor is used for receiving the formed complete set of gesture instruction images, analyzing and identifying the formed complete set of gesture instruction images, splicing the formed complete set of gesture instruction images according to a preset frequency according to a time sequence, filtering the spliced images to enable the filtered images to form a coherent gesture action track, comparing the coherent gesture action track with a gesture instruction image database formed in the storage module, obtaining gesture instruction contents according to the matching degree of the comparison, and sending the obtained gesture instruction contents;and the control key is used for resetting the gesture instruction image database formed by the storage module according to the user requirement.
- The gesture command recognition method according to claim 3, wherein the gesture command analysis recognition module is disposed on the controlled function module; and sending the obtained gesture instruction content to at least one controlled function module through a wireless communication module.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/092242 WO2018018598A1 (en) | 2016-07-29 | 2016-07-29 | Instruction identification method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108139797A true CN108139797A (en) | 2018-06-08 |
Family
ID=61015445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680056165.8A Pending CN108139797A (en) | 2016-07-29 | 2016-07-29 | A kind of instruction identification method |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108139797A (en) |
| WO (1) | WO2018018598A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109947257A (en) * | 2019-03-30 | 2019-06-28 | 哈尔滨理工大学 | A kind of gesture image recognition method |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113891160B (en) * | 2021-09-22 | 2024-02-13 | 百果园技术(新加坡)有限公司 | Sliding switching method and device for content card, terminal and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609093A (en) * | 2012-02-16 | 2012-07-25 | 中国农业大学 | Method and device for controlling video playing by using gestures |
| CN103294195A (en) * | 2013-05-09 | 2013-09-11 | 深圳Tcl新技术有限公司 | Remote control device and remote control method both based on gesture recognition |
| CN103295029A (en) * | 2013-05-21 | 2013-09-11 | 深圳Tcl新技术有限公司 | Interaction method and device of gesture control terminal |
| US20140155169A1 (en) * | 2010-12-16 | 2014-06-05 | Microsoft Corporation | Companion object customization |
| CN104571823A (en) * | 2015-01-12 | 2015-04-29 | 济南大学 | Non-contact virtual human-computer interaction method based on smart television set |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012141352A1 (en) * | 2011-04-13 | 2012-10-18 | Lg Electronics Inc. | Gesture recognition agnostic to device orientation |
| CN103926999B (en) * | 2013-01-16 | 2017-03-01 | 株式会社理光 | Palm folding gesture identification method and device, man-machine interaction method and equipment |
| CN105573504A (en) * | 2015-12-31 | 2016-05-11 | 艾维新能源科技南京有限公司 | Identification method for gesture control switch |
-
2016
- 2016-07-29 CN CN201680056165.8A patent/CN108139797A/en active Pending
- 2016-07-29 WO PCT/CN2016/092242 patent/WO2018018598A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140155169A1 (en) * | 2010-12-16 | 2014-06-05 | Microsoft Corporation | Companion object customization |
| CN102609093A (en) * | 2012-02-16 | 2012-07-25 | 中国农业大学 | Method and device for controlling video playing by using gestures |
| CN103294195A (en) * | 2013-05-09 | 2013-09-11 | 深圳Tcl新技术有限公司 | Remote control device and remote control method both based on gesture recognition |
| CN103295029A (en) * | 2013-05-21 | 2013-09-11 | 深圳Tcl新技术有限公司 | Interaction method and device of gesture control terminal |
| CN104571823A (en) * | 2015-01-12 | 2015-04-29 | 济南大学 | Non-contact virtual human-computer interaction method based on smart television set |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109947257A (en) * | 2019-03-30 | 2019-06-28 | 哈尔滨理工大学 | A kind of gesture image recognition method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018018598A1 (en) | 2018-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2015012441A1 (en) | Digital device and control method thereof | |
| WO2014157806A1 (en) | Display device and control method thereof | |
| WO2021172832A1 (en) | Method for editing image on basis of gesture recognition, and electronic device supporting same | |
| WO2011081379A2 (en) | Display device and control method thereof | |
| WO2017078361A1 (en) | Electronic device and method for recognizing speech | |
| WO2012118274A1 (en) | Method for measuring actual size of object using camera included in portable terminal | |
| WO2015102361A1 (en) | Apparatus and method for acquiring image for iris recognition using distance of facial feature | |
| WO2013141630A1 (en) | Mobile communication terminal and method of recommending application or content | |
| WO2014107076A1 (en) | Display apparatus and method of controlling a display apparatus in a voice recognition system | |
| WO2014146432A1 (en) | Control method and intelligent control terminal for storing food in refrigerator, and refrigerator | |
| WO2014193065A1 (en) | Video search apparatus and method | |
| WO2020085558A1 (en) | High-speed analysis image processing apparatus and driving method for apparatus | |
| WO2021167374A1 (en) | Video search device and network surveillance camera system including same | |
| WO2019107975A1 (en) | Electronic device shooting image and method for displaying the image | |
| WO2016123898A1 (en) | Short message managing method and mobile terminal thereof | |
| CN108139797A (en) | A kind of instruction identification method | |
| CN108139810A (en) | A kind of gesture identifying device | |
| WO2015119326A1 (en) | Display device and method for controlling the same | |
| WO2014073939A1 (en) | Method and apparatus for capturing and displaying an image | |
| WO2017069502A1 (en) | Display device, and integrated remote controller setting method and system for same | |
| EP3994657A1 (en) | Image processing method and electronic device supporting the same | |
| CN106845472A (en) | A kind of novel intelligent wrist-watch scans explanation/interpretation method and novel intelligent wrist-watch | |
| WO2019078469A1 (en) | Electronic device and service providing method therefor | |
| EP3186956A1 (en) | Display device and method of controlling therefor | |
| WO2022131739A1 (en) | Image processing method and electronic device supporting same |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180608 |