CN103235646A - Forelimb motion recognition device and implementation method thereof - Google Patents
Forelimb motion recognition device and implementation method thereof Download PDFInfo
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- CN103235646A CN103235646A CN2013101770926A CN201310177092A CN103235646A CN 103235646 A CN103235646 A CN 103235646A CN 2013101770926 A CN2013101770926 A CN 2013101770926A CN 201310177092 A CN201310177092 A CN 201310177092A CN 103235646 A CN103235646 A CN 103235646A
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Abstract
The invention discloses a forelimb motion recognition device and an implementation method thereof and mainly solves the problems that an existing motion sensing controller in the prior art can only be used in a static and fixed condition so that the monitoring area of the existing motion sensing controller is relatively small, accordingly the satisfaction level of user experience is reduced, and the popularization and the application are not facilitated. The forelimb motion recognition device comprises a power supply, a microprocessor (1), a display unit (2) and a gesture collecting sensor (5), wherein the microprocessor (1) is connected with the power supply, the display unit (2) and the gesture collecting sensor (5) are both connected with the microprocessor (1), and a forelimb motion collection sensor group is integrated inside the microprocessor (1). Through the above scheme, the forelimb motion recognition device achieves the aims of being relatively wide in the monitoring area and relatively high in use dexterity, and meeting people's demands, and has very high practical values and promotional values.
Description
Technical field
The present invention relates to a kind of recognition device, specifically, relate to a kind of forelimb, i.e. arm action recognition device and its implementation.
Background technology
In the prior art, people's limb action controller commonly used carries out some motion action or simulation, limb action controller commonly used comprises button, keyboard+mouse and Touch Screen, in order further to increase the sense of reality and operability, the body sense controller will become the main flow trend of following controller development, existing body sense controller mostly adopts optical technology to be achieved, yet, the optical body sense controller needs can use under static and fixing condition, monitoring area at static and fixing condition lower body sense controller is less, range of application is lower, thereby the body sense controller of stationary fixing formula can cause the satisfaction that the user experiences to reduce, and is unfavorable for that it applies.
Summary of the invention
The object of the present invention is to provide a kind of forelimb action recognition device and its implementation, mainly solving the body sense controller that exists in the prior art needs can use under the condition of stationary fixing, make that its monitoring area is less, and then cause the satisfaction that the user experiences to reduce, and be unfavorable for the problem applied.
To achieve these goals, the technical solution used in the present invention is as follows:
Forelimb action recognition device comprises power supply, also comprises the microprocessor that links to each other with power supply, all display device that links to each other with microprocessor and gesture pick-up transducers, and described microprocessor internal is integrated with forearm action pick-up transducers group.
For the ease of using, described display device is fixed in microprocessor one side by the first soft band, and described gesture pick-up transducers is fixed in the microprocessor opposite side by the second soft band.
Specifically, described display device links to each other with microprocessor by the winding displacement that is installed in the first soft band, and described gesture pick-up transducers links to each other with microprocessor by the winding displacement that is installed in the second soft band.
Further, the described second soft band and microprocessor and gesture pick-up transducers are connected to a ring texture that can supply human body wrist to dress.
Among the present invention, described microprocessor also is connected with microphone and receiver.
As preferably, described gesture pick-up transducers adopts wide-angle formula optical sensor; Described gesture pick-up transducers is the hand motion tracing sensor.
Based on above-mentioned device, the invention provides a kind of implementation method of forelimb action recognition device, may further comprise the steps:
(1) wrist is inserted in the second soft band, and power-on;
(2) gesture pick-up transducers and forearm action pick-up transducers is gathered in real time to the human body arm movement, and the data that collect are passed to microprocessor;
(3) microprocessor transforms the action data that receives and reduces.
In the step (2), described gesture pick-up transducers and forearm action pick-up transducers by point and dot spacing from variation, variation and the interarticular interaction relation of joint wrinkle the human body arm movement is gathered.
In the step (3), store human arm operating habit mapping table in the described microprocessor, microprocessor is according to this mapping table and receive the action reduction that data are finished the whole piece arm.
Compared with prior art, the present invention has following beneficial effect:
(1) the present invention makes it be easier to dress by the transformation to forelimb action recognition device, and adopts wide-angle formula optical sensor to make that its monitoring range is wider, and then effectively realize arm, be the tracking of forelimb action, can fully satisfy people's demand, be fit to large-scale promotion application.
(2) among the present invention, microprocessor receives with conversion process by the action data that gesture pick-up transducers and forearm action pick-up transducers group is collected just can realize monitoring to whole arm action, and in control procedure, need not to contact display device, only the second soft band need be enclosed within on the wrist and just can, need not fixing operation, use more flexibly, effectively improved controllability and the randomness of operation, improve user's operating experience greatly, met people's demand.
(3) the present invention is simple in structure, enforcement is convenient, realistic demand, has substantive distinguishing features and progress, is fit to large-scale promotion application.
Description of drawings
Fig. 1 is structural representation of the present invention.
In the above-mentioned accompanying drawing, Reference numeral corresponding components title is as follows:
The 1-microprocessor, 2-display device, the 3-first soft band, the 4-second soft band, 5-gesture pick-up transducers.
Embodiment
The invention will be further described below in conjunction with drawings and Examples, and embodiments of the present invention include but not limited to the following example.
Embodiment
Need under the condition of stationary fixing, can use in order to solve the body sense controller that exists in the prior art, make that its monitoring area is less, and then the satisfaction that causes the user to experience reduces, and be unfavorable for the problem applied, as shown in Figure 1, the invention discloses a kind of forelimb action recognition device, comprising:
Power supply: be used for the required electric energy of generator operate as normal, select internal battery among the present invention for use;
Microprocessor: the action data that gesture pick-up transducers and forearm action pick-up transducers group is collected receives, and the data that receive are converted to standard hand and forearm action data, and then realization is stored with human arm operating habit mapping table to the monitoring of arm action;
Display device: under the control of microprocessor, carry out picture and show;
The gesture pick-up transducers: action is gathered to human hands, and the data that collect are passed to microprocessor, selects the hand motion tracing sensor among the present invention for use;
Forearm action pick-up transducers group: action is gathered to human arm, and the data that collect are passed to microprocessor, among the present invention, it comprises three-axis gyroscope, triaxial accelerometer, gravity sensing sensor and the compass detector that all links to each other with microprocessor;
In order to increase monitoring area, among the present invention, the gesture pick-up transducers is wide-angle formula optical sensor.
Validity when using in order further to increase, microprocessor are connected with the microphone that carries out phonetic entry and carry out the receiver of voice output.
In above-mentioned, the equal and little processing of power supply, display device, gesture pick-up transducers, microphone and receiver links to each other, and forearm action pick-up transducers group is integrated in microprocessor internal.
Consider the convenience of use, among the present invention microprocessor 1 and display device 2 all are set to the rectangular structure (wrist is as the criterion to be suitable for fitting) of thinner thickness, use habit according to the user, preferably softly be with 3 to be fixed in directly over the microprocessor 1 by first display device 2, in order to save cost, first softly is connected in display device 2 and microprocessor 1 edge adjacent, that length is less with 3; For the ease of carrying, preferably softly be with 4 to be fixed under the microprocessor 1 by second gesture pick-up transducers 5, and second softly is connected the back with 4 with microprocessor 1 and forms the ring texture that can dress for human body wrist with gesture pick-up transducers 5, when specifically arranging, the wrist that only need guarantee the user is dressed the picture that can accurately see clearly on the display device 2 after this ring texture and just can, comfort level when dressing in order to improve, second softly can carry out the adjustment of certain angle with 4 with the junction of microprocessor 1, and itself and human body wrist are more fitted when guaranteeing to dress.
In order to increase aesthetics of the present invention and to reduce because the external device that causes of line damages, among the present invention, display device 2 and gesture pick-up transducers 5 are soft with the winding displacement in 3 be installed on second and softly link to each other with microprocessor 1 with 4 interior winding displacements by being installed on first respectively.
When concrete the application, only need wrist is dressed in the second soft band, power-on afterwards, gesture pick-up transducers and forearm action pick-up transducers just can be gathered the human body arm movement according to variation and the interarticular interaction relation of the variable in distance between node and node (pixel), joint wrinkle, and the arm movement data that collect are passed to microprocessor, microprocessor just can be finished the action reduction of whole piece arm according to human arm operating habit mapping table and the data that receive.
Among the present invention, the first soft band can be typing or the soft band of non-type, and wherein, the first soft band is preferably flexible typing and can supports the soft band of display device.
The monitoring that just can realize the whole piece arm is not covered, is disturbed to the application of the invention as long as corresponding action pick-up transducers has, and required during wearing to take the wrist space less, and it is comparatively convenient to use.
Among the present invention, each device is existing equipment, does not just more speak more bright at this.
According to above-described embodiment, just can realize the present invention well.
Claims (10)
1. forelimb action recognition device, comprise power supply, it is characterized in that, also comprise the microprocessor (1) that links to each other with power supply, the all display device (2) that links to each other with microprocessor (1) and gesture pick-up transducers (5), described microprocessor (1) inside are integrated with forearm action pick-up transducers group.
2. forelimb action recognition device according to claim 1, it is characterized in that, described display device (2) is fixed in microprocessor (1) one side by the first soft band (3), and described gesture pick-up transducers (5) is fixed in microprocessor (1) opposite side by the second soft band (4).
3. forelimb action recognition device according to claim 2, it is characterized in that, described display device (2) links to each other with microprocessor (1) by the winding displacement that is installed in the first soft band (3), and described gesture pick-up transducers (5) links to each other with microprocessor (1) by the winding displacement that is installed in the second soft band (4).
4. forelimb action recognition device according to claim 3 is characterized in that, the described second soft band (4) is connected to one with microprocessor (1) and gesture pick-up transducers (5) can be for the ring texture of human body wrist wearing.
5. forelimb action recognition device according to claim 4 is characterized in that, described microprocessor (1) also is connected with microphone and receiver.
6. forelimb action recognition device according to claim 5 is characterized in that, described gesture pick-up transducers (5) is wide-angle formula optical sensor.
7. forelimb action recognition device according to claim 6 is characterized in that, described gesture pick-up transducers (5) is the hand motion tracing sensor.
8. the implementation method of any described forelimb action recognition device of claim 4 ~ 7 is characterized in that, may further comprise the steps:
(1) wrist is inserted in the second soft band, and power-on;
(2) gesture pick-up transducers and forearm action pick-up transducers is gathered in real time to the human body arm movement, and the data that collect are passed to microprocessor;
(3) microprocessor transforms the action data that receives and reduces.
9. the implementation method of forelimb action recognition device according to claim 8, it is characterized in that, in the step (2), described gesture pick-up transducers and forearm action pick-up transducers by point and dot spacing from variation, variation and the interarticular interaction relation of joint wrinkle the human body arm movement is gathered.
10. the implementation method of forelimb action recognition device according to claim 9, it is characterized in that, in the step (3), store human arm operating habit mapping table in the described microprocessor, microprocessor is according to this mapping table and receive the action reduction that data are finished the whole piece arm.
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| CN2013101770926A CN103235646A (en) | 2013-05-14 | 2013-05-14 | Forelimb motion recognition device and implementation method thereof |
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| CN2013101770926A CN103235646A (en) | 2013-05-14 | 2013-05-14 | Forelimb motion recognition device and implementation method thereof |
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| CN1206337A (en) * | 1996-09-10 | 1999-01-27 | 精工爱普生株式会社 | Organism state measuring device and relaxation instructing device |
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| CN101267460A (en) * | 2007-03-16 | 2008-09-17 | 雅马哈株式会社 | Wearable electronic device |
| JP2009226025A (en) * | 2008-03-24 | 2009-10-08 | Citizen Holdings Co Ltd | Biological information measuring apparatus |
| CN102229146A (en) * | 2011-04-27 | 2011-11-02 | 北京工业大学 | Remote control humanoid robot system based on exoskeleton human posture information acquisition technology |
| CN202218347U (en) * | 2011-09-23 | 2012-05-09 | 戴若犁 | Motion attitude capturing device and system of motion attitude capturing device |
| CN202584010U (en) * | 2012-04-06 | 2012-12-05 | 寇传阳 | Wrist-mounting gesture control system |
| CN102915111A (en) * | 2012-04-06 | 2013-02-06 | 寇传阳 | Wrist gesture control system and method |
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2013
- 2013-05-14 CN CN2013101770926A patent/CN103235646A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1206337A (en) * | 1996-09-10 | 1999-01-27 | 精工爱普生株式会社 | Organism state measuring device and relaxation instructing device |
| CN1531676A (en) * | 2001-06-01 | 2004-09-22 | ���ṫ˾ | User input apparatus |
| CN101267460A (en) * | 2007-03-16 | 2008-09-17 | 雅马哈株式会社 | Wearable electronic device |
| JP2009226025A (en) * | 2008-03-24 | 2009-10-08 | Citizen Holdings Co Ltd | Biological information measuring apparatus |
| CN102229146A (en) * | 2011-04-27 | 2011-11-02 | 北京工业大学 | Remote control humanoid robot system based on exoskeleton human posture information acquisition technology |
| CN202218347U (en) * | 2011-09-23 | 2012-05-09 | 戴若犁 | Motion attitude capturing device and system of motion attitude capturing device |
| CN202584010U (en) * | 2012-04-06 | 2012-12-05 | 寇传阳 | Wrist-mounting gesture control system |
| CN102915111A (en) * | 2012-04-06 | 2013-02-06 | 寇传阳 | Wrist gesture control system and method |
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