CN103529941A - Gesture recognition device and method based on two-dimensional graph - Google Patents
Gesture recognition device and method based on two-dimensional graph Download PDFInfo
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- CN103529941A CN103529941A CN201310468725.9A CN201310468725A CN103529941A CN 103529941 A CN103529941 A CN 103529941A CN 201310468725 A CN201310468725 A CN 201310468725A CN 103529941 A CN103529941 A CN 103529941A
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Abstract
The invention relates to a gesture recognition device and method based on a two-dimensional graph. The gesture recognition device comprises an acceleration sensor module, a noise processing module, a control module and a display module. The acceleration sensor module is used for obtaining a gesture acceleration signal, the noise processing module is used for performing smoothing and noise removing treatment on the acceleration signal output by the acceleration sensor module, the control module is used for obtaining a graph signal according to the gesture acceleration signal processed by the noise processing module, and the display module is used for displaying the graph signal provided by the control module. The gesture recognition device has the advantages of being high in precision, good in stability, convenient to operate and the like.
Description
Technical field
The present invention relates to a kind of gesture identification equipment and gesture identification method based on X-Y scheme.
Background technology
Be accompanied by the continuous progress of science and technology, multimedia technology has obtained popularizing widely and lasting development.Because the requirement that consumer experiences user is more and more higher, the interpersonal interaction technique as an important branch of multimedia technology, becomes a hot technology gradually.For example, use limbs, gesture etc. intuitively mode complete the Gesture Recognition of computer operation, people's hand is another complicated execution mechanism, its flexibility ratio is high, expressive force abundant and can complete meticulous operation.Current, Gesture Recognition is applied to the various fields such as intelligent robot, computing machine, game machine, mobile phone, display, automatic control system as the communication means between the mankind and computing machine.
Prior art gesture identification equipment provides and has utilized infrared sensor or camera to catch the scheme of user's hand position, but these schemes are easily subject to external interference, cause measurement data deviation, occur that degree of accuracy is low, poor stability and be unfavorable for the problems such as operation.In addition, utilize infrared sensor or camera to catch the fittings equipment of scheme of user's hand position expensive, cause Whole Equipment cost higher.
Summary of the invention
Object of the present invention is exactly that the degree of accuracy that prior art gesture identification equipment exists is low in order to solve, poor stability, operation inconvenience and cost be compared with high-technology problem, the invention provides a kind of gesture identification equipment and gesture identification method based on X-Y scheme.Concrete technical scheme of the present invention is as follows:
The invention provides a kind of gesture identification equipment based on X-Y scheme, it comprises acceleration sensor module, noise processed module, control module and display module, described acceleration sensor module is used for obtaining gesture acceleration signal, described noise processed module is removed noise processed for the gesture acceleration signal of described acceleration sensor module output is carried out to filtering, described control module is for obtaining figure signal according to the gesture acceleration signal after described noise processed resume module, and described display module is for showing the figure signal that described control module provides.
Further, described control module comprises MCU submodule and storer submodule, described storer submodule is for storing predetermined sample gesture acceleration signal, described MCU submodule, for according to the comparing result of the sample gesture acceleration signal of the gesture acceleration signal of described noise processed module output and the storage of described storer submodule, obtains corresponding figure signal by computing.
Further, described figure signal is arabic numeral figure.
Further, described display module is LCD display, OLED display screen or LED display.
Further, described gesture identification equipment further comprises change-over switch module, and described change-over switch module is connected with described control module, and described change-over switch module is for controlling the switching of described control module mode of operation.
Further, described gesture identification equipment further comprises power module, and described power module is connected with described control module.Described power module is used to described control module power supply.
The present invention also provides a kind of gesture identification method based on X-Y scheme, and it comprises the following steps:
Step 1: described in described change-over switch module controls, control module is in initialize mode;
Step 2: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration;
Step 3: described in described change-over switch module controls, control module switches to mode of operation;
Step 4: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
Further, the concrete steps of described step 2 are:
Described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration.
Further, the concrete steps of described step 4 are:
Described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
Compared to prior art, the invention provides a kind of gesture identification equipment based on X-Y scheme and the main beneficial effect of gesture identification method and be:
Gesture identification equipment utilization acceleration sensor module of the present invention is converted to gesture acceleration signal by gesture motion, by noise processed module, described gesture acceleration signal is carried out to filtering and noise reduction sonication, and utilize described control module to obtain figure signal according to gesture acceleration signal and sample gesture acceleration signal comparing result, so the present invention possesses that degree of accuracy is high, the advantage of good stability and convenient operation.In addition, the price of the modules adopting due to gesture identification equipment of the present invention is lower, so the cost of whole equipment is lower.
Accompanying drawing explanation
Fig. 1 is the block diagram of the embodiment of the present invention 1 gesture identification equipment;
Fig. 2 is the block diagram of the embodiment of the present invention 2 gesture identification equipment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used for limiting the present invention.
Embodiment 1
Refer to shown in Fig. 1, the invention provides a kind of gesture identification equipment based on X-Y scheme, its bag acceleration sensor module, noise processed module, control module and display module, described acceleration sensor module is connected with described noise processed module, described noise processed module is connected with described control module, and described display module is connected with described control module.
Described acceleration sensor module is used for obtaining gesture acceleration signal, is about to motion gesture motion and is converted to gesture acceleration signal, and gesture acceleration signal is outputed to described noise processed module.Described acceleration sensor module is dimension sensor module, and it is for obtaining two-dimentional gesture acceleration signal.
Described noise processed module is for carrying out filtering processing to described gesture acceleration signal, to remove the noise impact in described gesture acceleration signal.Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module.
Described control module is for obtaining figure signal according to described gesture acceleration signal.Described control module comprises MCU submodule and storer submodule, and described MCU submodule is connected with described storer submodule.Described storer submodule is for storing predetermined sample gesture acceleration signal.Described MCU submodule is used for according to the comparing result of the sample gesture acceleration signal of the gesture acceleration signal of described noise processed module output and the storage of described storer submodule, by computing, obtain corresponding figure signal, and described figure signal is outputed to described display module.Described figure signal can be arabic numeral figure.
Described display module is for showing the figure signal that described control module provides.Described display module can be LCD display, OLED display screen or LED display etc.
Embodiment 2
Refer to shown in Fig. 2, the invention provides the gesture identification equipment that a kind of gesture identification equipment provides with embodiment 1 substantially identical, its key distinction is:
Described gesture identification equipment further comprises change-over switch module and power module, and described change-over switch module is connected with described control module, and described power module is connected with described control module.Described power module is used to described control module power supply.
Described change-over switch module, for controlling the switching of described control module mode of operation, is controlled described gesture identification equipment and is switched in described initialize mode and two patterns of mode of operation.
Described in described change-over switch module controls, control module is when initialize mode, and described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, and gesture acceleration signal is outputed to described noise processed module; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The memory module of described control module receives the gesture acceleration signal after the processing of described noise processed module output, and described gesture acceleration signal is stored as sample gesture acceleration; Now described gesture identification equipment completes the workflow of initialize mode.
Described in described change-over switch module controls, control module is when mode of operation, and described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, and gesture acceleration signal is outputed to described noise processed module; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The MCU submodule of described control module receives the gesture acceleration signal after the processing of described noise processed module output, described MCU submodule is according to the comparing result of the sample gesture acceleration signal of the gesture acceleration signal of described noise processed module output and the storage of described storer submodule, by computing, obtain corresponding figure signal, and described figure signal is outputed to described display module; The described gesture identification equipment workflow of pattern of finishing the work now.
Embodiment 3
Please again consult Fig. 2, the invention provides a kind of gesture identification method based on X-Y scheme, it comprises the steps:
Step 1: described in described change-over switch module controls, control module is in initialize mode;
Step 2: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration;
Step 3: described in described change-over switch module controls, control module switches to mode of operation;
Step 4: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
Wherein, in above-mentioned steps 2, further comprise the sub-step of a noise processed, the concrete steps of described step 2 are:
Step 2: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration.
Wherein, in above-mentioned steps 4, further comprise the sub-step of a noise processed, the concrete steps of described step 4 are:
Described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
It should be noted that, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement technical scheme of the present invention, and not departing from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of claim scope of the present invention.
Claims (9)
1. the gesture identification equipment based on X-Y scheme, it is characterized in that, comprise acceleration sensor module, noise processed module, control module and display module, described acceleration sensor module is used for obtaining gesture acceleration signal, described noise processed module is removed noise processed for the gesture acceleration signal of described acceleration sensor module output is carried out to filtering, described control module is for obtaining figure signal according to the gesture acceleration signal after described noise processed resume module, described display module is for showing the figure signal that described control module provides.
2. gesture identification equipment according to claim 1, it is characterized in that, described control module comprises MCU submodule and storer submodule, described storer submodule is for storing predetermined sample gesture acceleration signal, described MCU submodule, for according to the comparing result of the sample gesture acceleration signal of the gesture acceleration signal of described noise processed module output and the storage of described storer submodule, obtains corresponding figure signal by computing.
3. gesture identification equipment according to claim 2, is characterized in that, described figure signal is arabic numeral figure.
4. gesture identification equipment according to claim 3, is characterized in that, described display module is LCD display, OLED display screen or LED display.
5. gesture identification equipment according to claim 4, it is characterized in that, described gesture identification equipment further comprises change-over switch module, and described change-over switch module is connected with described control module, and described change-over switch module is for controlling the switching of described control module mode of operation.
6. gesture identification equipment according to claim 3, is characterized in that, described gesture identification equipment further comprises power module, and described power module is connected with described control module.Described power module is used to described control module power supply.
7. the gesture identification method based on X-Y scheme, is characterized in that, comprises the following steps:
Step 1: described in described change-over switch module controls, control module is in initialize mode;
Step 2: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration;
Step 3: described in described change-over switch module controls, control module switches to mode of operation;
Step 4: described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion, the MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
8. gesture identification method according to claim 7, is characterized in that, the concrete steps of described step 2 are:
Described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The memory module of described control module receives described gesture acceleration signal, and described gesture acceleration signal is stored as sample gesture acceleration.
9. gesture identification method according to claim 7, is characterized in that, the concrete steps of described step 4 are:
Described acceleration sensor module is converted to gesture acceleration signal by motion gesture motion; Described noise processed module receives the gesture acceleration signal of described acceleration sensor module output, carries out filtering and removes after noise processed, and the gesture acceleration signal after processing is outputed to described control module; The MCU submodule of described control module receives described gesture acceleration signal, and by the comparing of the sample gesture acceleration signal of described gesture acceleration signal and described storer submodule storage, it carries out computing according to comparative result and obtains corresponding figure signal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105148514A (en) * | 2015-09-06 | 2015-12-16 | 骆凌 | Device and method for controlling game view angle |
| CN109597405A (en) * | 2017-09-30 | 2019-04-09 | 阿里巴巴集团控股有限公司 | Control the mobile method of robot and robot |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2070474U (en) * | 1990-08-02 | 1991-01-30 | 杭州金融电子应用技术研究所 | Micro-camputer code input device |
| CN1553290A (en) * | 2003-06-05 | 2004-12-08 | 联发科技股份有限公司 | Low-noise rapid stabilizing stabilized circuit |
| CN1796937A (en) * | 2004-12-21 | 2006-07-05 | 财团法人工业技术研究院 | Power supply managerial approach for computer system in use for vehicle |
| CN1930542A (en) * | 2004-03-23 | 2007-03-14 | 富士通株式会社 | Distinguishing tilt and translation motion components in handheld devices |
| CN101178627A (en) * | 2007-12-06 | 2008-05-14 | 姜若林 | Multifunctional wireless mouse apparatus |
| CN101241646A (en) * | 2007-08-08 | 2008-08-13 | 中科院嘉兴中心微***所分中心 | Wireless sensor network device for measuring car throughput based on high magnetic resistance and magnetic sensitive technology and its realizing method |
| CN101345819A (en) * | 2008-08-19 | 2009-01-14 | 中山大学 | Speech control system used for set-top box |
| US20100171636A1 (en) * | 2009-01-06 | 2010-07-08 | Hong Kong Applied Science And Technology Research Institute Co., Ltd. | Remote Control Devices and Methods |
| CN201876991U (en) * | 2010-10-25 | 2011-06-22 | 湖北第二师范学院 | Emergency intervention system for traffic light |
| WO2011139980A1 (en) * | 2010-05-05 | 2011-11-10 | Digimarc Coporation | Hidden image signaling |
-
2013
- 2013-09-28 CN CN201310468725.9A patent/CN103529941A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2070474U (en) * | 1990-08-02 | 1991-01-30 | 杭州金融电子应用技术研究所 | Micro-camputer code input device |
| CN1553290A (en) * | 2003-06-05 | 2004-12-08 | 联发科技股份有限公司 | Low-noise rapid stabilizing stabilized circuit |
| CN1930542A (en) * | 2004-03-23 | 2007-03-14 | 富士通株式会社 | Distinguishing tilt and translation motion components in handheld devices |
| CN1796937A (en) * | 2004-12-21 | 2006-07-05 | 财团法人工业技术研究院 | Power supply managerial approach for computer system in use for vehicle |
| CN101241646A (en) * | 2007-08-08 | 2008-08-13 | 中科院嘉兴中心微***所分中心 | Wireless sensor network device for measuring car throughput based on high magnetic resistance and magnetic sensitive technology and its realizing method |
| CN101178627A (en) * | 2007-12-06 | 2008-05-14 | 姜若林 | Multifunctional wireless mouse apparatus |
| CN101345819A (en) * | 2008-08-19 | 2009-01-14 | 中山大学 | Speech control system used for set-top box |
| US20100171636A1 (en) * | 2009-01-06 | 2010-07-08 | Hong Kong Applied Science And Technology Research Institute Co., Ltd. | Remote Control Devices and Methods |
| WO2011139980A1 (en) * | 2010-05-05 | 2011-11-10 | Digimarc Coporation | Hidden image signaling |
| CN201876991U (en) * | 2010-10-25 | 2011-06-22 | 湖北第二师范学院 | Emergency intervention system for traffic light |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105148514A (en) * | 2015-09-06 | 2015-12-16 | 骆凌 | Device and method for controlling game view angle |
| CN109597405A (en) * | 2017-09-30 | 2019-04-09 | 阿里巴巴集团控股有限公司 | Control the mobile method of robot and robot |
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