Gesture recognition method and system based on radar micro-Doppler signal sparse optimization

A micro-Doppler signal and sparse optimization technology, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as performance degradation, and achieve the effect of improving accuracy and high recognition accuracy

Active Publication Date: 2019-08-09
TSINGHUA UNIV
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Problems solved by technology

However, the performance of video-based dynamic gesture recognition technology will degrade in poor lighting conditions

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  • Gesture recognition method and system based on radar micro-Doppler signal sparse optimization
  • Gesture recognition method and system based on radar micro-Doppler signal sparse optimization
  • Gesture recognition method and system based on radar micro-Doppler signal sparse optimization

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[0065] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0066] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element refe...

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Abstract

The present invention proposes a gesture recognition method and system based on radar micro-Doppler signal sparse optimization. The method includes the following steps: transmitting a radar signal, and receiving a gesture echo signal reflected by the radar signal through the gesture to be recognized; according to the sparse optimization technology , map the gesture echo signal into a sparse vector; extract the non-zero elements in the sparse vector, and find the Gabor basis vector corresponding to the non-zero element, and extract the corresponding time-shift parameters and frequency-shift parameters to obtain the gesture echo signal The feature quantity; train the classifier, and input the feature quantity into the classifier to identify the type of the gesture to be recognized. The present invention is not affected by lighting conditions, and can improve the accuracy rate of gesture recognition under bad lighting conditions.

Description

technical field [0001] The invention relates to the technical field of radar and human-computer interaction, in particular to a gesture recognition method and system based on radar micro-Doppler signal sparse optimization. Background technique [0002] Human-computer interaction is the process of exchanging information between humans and computers using a dialogue medium. In traditional human-computer interaction, people exchange information with computers through keyboards, mice, and monitors. With the development of computer technology, a new generation of human-computer interaction technology with language and gesture as the medium is gradually emerging. Dynamic gesture recognition technology has great application value in human-computer interaction, and this technology has now received more and more attention. At present, relatively mature dynamic gesture recognition technologies use video equipment to obtain gesture videos, and then extract image features to realize v...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/28G06V10/40G06F18/24
Inventor 李刚张瑞
Owner TSINGHUA UNIV
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