CN105334958A - Gesture recognition system and realization method - Google Patents
Gesture recognition system and realization method Download PDFInfo
- Publication number
- CN105334958A CN105334958A CN201510577525.6A CN201510577525A CN105334958A CN 105334958 A CN105334958 A CN 105334958A CN 201510577525 A CN201510577525 A CN 201510577525A CN 105334958 A CN105334958 A CN 105334958A
- Authority
- CN
- China
- Prior art keywords
- hand signal
- gesture
- signal
- module
- recognition system
- 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
Landscapes
- User Interface Of Digital Computer (AREA)
- Telephone Function (AREA)
Abstract
The invention provides a gesture recognition system which comprises a data acquisition device and an intelligent mobile terminal, wherein the intelligent mobile terminal mainly consists of a data processing module, a control module and a function execution module; the data processing module is internally provided with an instruction database and is used for sending a gesture decoding signal to the control module; a wireless interface is arranged on the control module which is used for receiving the signal from the data acquisition device, sending a current gesture signal to the data processing module and sending an instruction decoding value to the function execution module; and the function execution module comprises a plurality of APP execution modules. According to the gesture recognition system, a more humanized and visualized input manner with stronger operability is used as an assistant input manner so as to bring convenience to various people and applications.
Description
Technical field
The present invention relates to a kind of input system and implementation method of intelligent mobile terminal, be specifically related to a kind of gesture recognition system and implementation method.
Background technology
The intelligent mobile terminal taking mobile phone as representative is day by day universal, and its function and performance are also become stronger day by day.In recent years, the input mode of intelligent mobile terminal was varied, keyboard, touch, voice, gesture identification etc.
Keyboard entry method is mobile phone, the main input solution in especially non intelligent stage.User comes input characters or instruction by the button beaten on cell phone keyboard.
Touch-screen is intelligent mobile terminal, comprises mobile phone and PAD, modal input solution.User comes input characters or instruction by finger paddling on the touchscreen.
Voice are intelligent mobile terminals, comprise the auxiliary input mode of mobile phone and PAD, its receive user voice messaging and to this information make identify judge using as input Data Enter.
Keyboard, touch-screen, voice all have its application limitation as the input mode of current intelligent mobile terminal, are mainly manifested in for the taking of both hands, require neighbourhood noise susceptibility that is higher and phonetic entry to the Text region functipnal capability of user.Therefore, in today of Intelligent mobile equipment at a high speed universal and development, need a kind of more humane, the input mode that more directly perceived, operability is stronger as auxiliary input, to facilitate all kinds of crowd and application demand.
Summary of the invention
The object of this invention is to provide a kind of gesture recognition system and implementation method, the input mode more humane, more directly perceived, operability is stronger as auxiliary input, to facilitate all kinds of crowd and application demand.
The invention provides following technical scheme:
A kind of gesture recognition system, comprising: data collector and intelligent mobile terminal, intelligent mobile terminal forms primarily of data processing module, control module and function execution module; Be provided with instruction database in described data processing module, send decoding hand signal to control module; Described control module is provided with wave point, receives the signal from described data collector, sends current hand signal to described data processing module, and sends instruction decoding value to function execution module; Described function execution module comprises multiple App execution module.
Harvester is body sense data collector.
Described data collector is located on wearable carrier.
A kind of gesture identification implementation method, comprises the steps:
Collect and store a large amount of, diversified hand signal;
The hand signal of storage is mated one by one with steering order;
The hand signal stored builds gesture instruction database together with the steering order matched;
Obtain current hand signal;
Current hand signal and the hand signal in database are carried out coarse filtration and essence is filtered two-wheeled and compared, finally draw decoding hand signal;
The instruction decoding value of steering order corresponding to decoding hand signal as current gesture is exported
The invention has the beneficial effects as follows: 1, manipulate convenience: employing gesture is as command input signals, and it has efficiently, directly perceived, natural feature.As the auxiliary input mode of the steering order of mobile terminal, this input mode can thorough liberation both hands, realize real meaning every blank operation.This input mode is applicable to all kinds of crowd, especially for the crowd of the more difficult adaptation of basic input technical ability of traditional input mode, as old man, child, physical disabilities etc. simultaneously.
2, environmental robustness: the present invention utilizes senser element acquisition volume sense signal, with existing directly utilization compared with mobile phone camera captor sense signal, there is stronger manipulation environmental suitability, not by the restriction such as space, light of camera capture region, namely all can operate in the large regions that wireless signal transmission covers.
Accompanying drawing explanation
accompanying drawingbeing used to provide a further understanding of the present invention, and forming a part for instructions, together with embodiments of the present invention for explaining the present invention, not being construed as limiting the invention.?
in accompanying drawing:
fig. 1it is present system framework
figure;
fig. 2it is Gesture Recognition Algorithm flow process of the present invention
figure;
fig. 3the basic gesture information in gesture library of the present invention;
fig. 4that basic gesture information MAP of the present invention and compound gesture information map.
Embodiment
as Fig. 1shown in, be system of the present invention composition frame
figure.Body sense signal (comprising acceleration signal, angular velocity signal, electromyographic signal) is passed to intelligent mobile terminal by wearable data collector; The radio port receiving body sense signal of intelligent mobile terminal, and sent to data processing module carry out gesture information coupling decoding.Control module in intelligent mobile terminal again by the instruction decoding value transmit of current gesture to function execution module, indicate corresponding application program to realize command function.
as Fig. 1shown system composition frame
in figuredata processing module be for Gesture Recognition Algorithm.This data processing module mainly completes three zones: gesture instruction library storage, gesture matching operation and instruction decoding, its computing flow process
as Fig. 2shown in
(1) store in gesture instruction storehouse
as Fig. 3shown elementary instruction gesture information and the various combinations of elementary instruction gesture thereof.
(2) namely gesture matching operation carries out dual threshold calculating (coarse filtration and essence filter) to current gesture information:
Coarse filtration refers to the hand signal in current hand signal and database to do one by one and subtracts, if Euclidean distance difference is less than first threshold, then the hand signal in this database is chosen as reference signal, records the difference of reference signal and current hand signal simultaneously; Wherein, the eigenwert that extracts according to a large amount of gesture information gathered of first threshold and determining.
Essence filter refers to the difference of comparison reference signal and current hand signal, chooses the minimum value person of difference for decoded signal.
(3) namely instruction decoding carries out the mapping of gesture information and steering order to the output decoded signal of essence filter,
as Fig. 4shown in, table look-up according to the decode value of current hand signal and find out corresponding steering order type, thus the application program of intelligent mobile terminal is controlled.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although with reference to previous embodiment to invention has been detailed description, for a person skilled in the art, it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (4)
1. a gesture recognition system, comprising: data collector and intelligent mobile terminal, is characterized in that, intelligent mobile terminal forms primarily of data processing module, control module and function execution module; Be provided with instruction database in described data processing module, send decoding hand signal to control module; Described control module is provided with wave point, receives the signal from described data collector, sends current hand signal to described data processing module, and sends instruction decoding value to function execution module; Described function execution module comprises multiple App execution module.
2. gesture recognition system according to claim 1, is characterized in that: described data collector is body sense data collector.
3. the gesture recognition system according to any one in claim 1-2, is characterized in that: described data collector is located on wearable carrier.
4. a gesture identification implementation method, is characterized in that, comprises the steps:
Collect and store a large amount of, diversified hand signal;
The hand signal of storage is mated one by one with steering order;
The hand signal stored builds gesture instruction database together with the steering order matched;
Obtain current hand signal;
Current hand signal and the hand signal in database are carried out coarse filtration and essence is filtered two-wheeled and compared, finally draw decoding hand signal;
The instruction decoding value of steering order corresponding to decoding hand signal as current gesture is exported.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510577525.6A CN105334958A (en) | 2015-09-11 | 2015-09-11 | Gesture recognition system and realization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510577525.6A CN105334958A (en) | 2015-09-11 | 2015-09-11 | Gesture recognition system and realization method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105334958A true CN105334958A (en) | 2016-02-17 |
Family
ID=55285557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510577525.6A Pending CN105334958A (en) | 2015-09-11 | 2015-09-11 | Gesture recognition system and realization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105334958A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107885312A (en) * | 2016-09-29 | 2018-04-06 | 青岛海尔智能技术研发有限公司 | A kind of gestural control method and device |
| CN108632411A (en) * | 2018-05-11 | 2018-10-09 | Oppo广东移动通信有限公司 | Electronic device |
| CN109993043A (en) * | 2017-12-30 | 2019-07-09 | 广州大正新材料科技有限公司 | A kind of gesture identification and transmission method |
| CN110180140A (en) * | 2019-07-08 | 2019-08-30 | 孟李中 | A kind of control module with clench fist action record respiratory training and habit culture |
| CN111722715A (en) * | 2020-06-17 | 2020-09-29 | 上海思立微电子科技有限公司 | Gesture control system and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204129661U (en) * | 2014-10-31 | 2015-01-28 | 柏建华 | Wearable device and there is the speech control system of this wearable device |
| US20150116215A1 (en) * | 2013-10-31 | 2015-04-30 | Much-ip Co., Ltd. | Remote controller and method thereof |
| CN204631773U (en) * | 2015-04-17 | 2015-09-09 | 杭州豚鼠科技有限公司 | Body sense interactive system |
-
2015
- 2015-09-11 CN CN201510577525.6A patent/CN105334958A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150116215A1 (en) * | 2013-10-31 | 2015-04-30 | Much-ip Co., Ltd. | Remote controller and method thereof |
| CN204129661U (en) * | 2014-10-31 | 2015-01-28 | 柏建华 | Wearable device and there is the speech control system of this wearable device |
| CN204631773U (en) * | 2015-04-17 | 2015-09-09 | 杭州豚鼠科技有限公司 | Body sense interactive system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107885312A (en) * | 2016-09-29 | 2018-04-06 | 青岛海尔智能技术研发有限公司 | A kind of gestural control method and device |
| CN109993043A (en) * | 2017-12-30 | 2019-07-09 | 广州大正新材料科技有限公司 | A kind of gesture identification and transmission method |
| CN108632411A (en) * | 2018-05-11 | 2018-10-09 | Oppo广东移动通信有限公司 | Electronic device |
| CN110180140A (en) * | 2019-07-08 | 2019-08-30 | 孟李中 | A kind of control module with clench fist action record respiratory training and habit culture |
| CN111722715A (en) * | 2020-06-17 | 2020-09-29 | 上海思立微电子科技有限公司 | Gesture control system and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105334958A (en) | Gesture recognition system and realization method | |
| CN101482796B (en) | System and method for starting mobile terminal application function through touch screen | |
| CN108307069B (en) | Navigation operation method, navigation operation device and mobile terminal | |
| EP2631788A1 (en) | Method and mobile terminal for recognizing hardware gestures | |
| CN105022947A (en) | Fingerprint identification method for smartwatch and smartwatch | |
| CN104049737A (en) | Object control method and apparatus of user device | |
| CN104123937A (en) | Method, device and system for reminding setting | |
| CN109949795A (en) | A kind of method and device of control smart machine interaction | |
| CN102841712A (en) | Method and system for identifying and editing gestures | |
| US20230093983A1 (en) | Control method and device, terminal and storage medium | |
| CN102830858A (en) | Gesture recognition method and device and touch screen terminal | |
| CN203552272U (en) | Fingerprint identification device | |
| CN109543014B (en) | Man-machine conversation method, device, terminal and server | |
| CN103309612A (en) | Method, device and equipment for processing information of graphic interface text field of mobile equipment | |
| WO2020135010A1 (en) | Method and device for processing hosted application, and computer readable storage medium | |
| CN111367407A (en) | Intelligent glasses interaction method, intelligent glasses interaction device and intelligent glasses | |
| CN108320740B (en) | Voice recognition method and device, electronic equipment and storage medium | |
| CN113138560A (en) | Terminal control method, device, equipment and readable storage medium | |
| CN105205153A (en) | File storage method and device | |
| CN110888969A (en) | Dialog response method and device | |
| CN110088719B (en) | Display method of mobile equipment and mobile equipment | |
| CN112291411A (en) | Method, terminal and computer readable medium for recommending operation sequence | |
| CN104077513A (en) | Information processing method and electronic equipment | |
| CN109146495B (en) | Method and device for quickly and safely starting payment and terminal equipment | |
| CN106033286A (en) | A projection display-based virtual touch control interaction method and device and a robot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into 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: 20160217 |