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Gesture recognition system and gesture recognition method

一种手势识别、手势的技术,应用在手势识别领域,能够解决误判率高、手势识别计算量大、发音准确性记住语音命令等问题,达到计算量小、误判率低的效果

Inactive Publication Date: 2013-03-20
AAC ACOUSTIC TECH (SHENZHEN) CO LTD +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Video-based gesture recognition has disadvantages such as large amount of calculation, high misjudgment rate, and requirements for lighting.
However, voice-based gesture recognition captures a group of voice information obtained through the speech process such as keywords, which requires the accuracy of human pronunciation and the need to remember voice commands and other defects.

Method used

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  • Gesture recognition system and gesture recognition method
  • Gesture recognition system and gesture recognition method
  • Gesture recognition system and gesture recognition method

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0031] The gesture recognition device and recognition method provided by the present invention are based on acoustics, that is, realized by the Doppler effect of sound, so it needs to be realized by using the acoustic device of the device. The speaker in the device is used as the sound source, and the microphone is used as the signal acquisition module. When the user completes a specific gesture in the gesture detection area in front of the device, the gesture recognition device and recognition method can detect the user's gesture and send a specific gesture to the device. User specified. The realization principle of the present invention is that different gestures will produce different Doppler effects, there...

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Abstract

The invention relates to a gesture recognition system and a gesture recognition method. The gesture recognition system comprises a left sound source, a right sound source, a signal collecting module and a gesture analysis module, wherein the left sound source and the right sound source are horizontally placed at intervals and used for sending sound signals to a gesture detecting region, the signal collecting module is placed on a perpendicular bisector of a connecting wire of the left sound source and the right sound source and used for receiving sound signals sent from the left sound source and the right sound source and translating sound signals into audio signals. The gesture analysis module is used for receiving and analyzing the audio signals output from the signal collecting module and ensuring gesture and outputting instructions. The gesture recognition system and the gesture recognition method have the advantages of being small in calculating amount, low in misjudgment rate and free of relying on light. Non-contacted instrument output of a computer can be achieved on a personal computer, a notebook computer, a tablet computer and other mobile devices through a loudspeaker and a microphone.

Description

【Technical field】 [0001] The invention relates to the field of gesture recognition, in particular to a gesture recognition device and a recognition method. 【Background technique】 [0002] With the continuous development of personal electronic products, the way people interact with electronic devices is also constantly changing, from keyboard input at the beginning to touch input, and now a new non-contact gesture recognition human interaction mode has emerged. [0003] Currently popular gesture recognition methods include video-based gesture recognition and voice-based gesture recognition. Gesture recognition based on video has disadvantages such as large amount of calculation, high rate of misjudgment, and requirements for lighting. However, voice-based gesture recognition captures a group of voice information obtained through the speech process such as keywords, which requires the accuracy of human pronunciation and the need to remember voice commands and other defects. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06F3/16
CPCG06F3/017G06F3/0393
Inventor 王小军唐琪
Owner AAC ACOUSTIC TECH (SHENZHEN) CO LTD
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