Gesture recovery and recognition method based on time domain Doppler effect

Abstract

The invention discloses a gesture recovery and recognition method based on the time domain Doppler effect. A one-way transmitter is adopted for transmitting a single-frequency signal through an antenna; because of the Doppler effect, gesture motion information is modulated into the phase position of a reflected signal; receiving antennae of a plurality of receivers are placed in the best signal receiving positions, the multiple receivers and the transmitter share a same reference clock, phase synchronization is guaranteed, a radio frequency reflection signal is down-converted into medium frequency by a medium frequency receiver module, the medium frequency signal is down-converted into a digital baseband signal in an orthogonal mode by a digital down-conversion module, the digital baseband signal is collected by a signal collection module of a computer, the signal is processed through a comprehensive algorithm of time domain demodulation, and then gesture recovery and recognition based on the time domain Doppler effect is carried out. The method is high in sensitivity and robustness and low in hardware complexity; the accurate two-dimensional and three-dimensional motion information of gestures can be accurately recovered; any motion of a hand can be detected with the method, and the method will be widely applied to the field of gesture recognition based on the Doppler effect.

Description

technical field [0001] The invention relates to a gesture recovery recognition method based on time domain Doppler. Background technique [0002] The wavelength of an object's radiation changes due to the relative motion of the source and observer. In front of the moving wave source, the wave is compressed, the wavelength becomes shorter and the frequency becomes higher; when behind the moving wave source, the opposite effect occurs. The wavelength becomes longer and the frequency becomes lower; the higher the velocity of the wave source, the greater the effect. This phenomenon is called the Doppler effect. [0003] In recent years, the use of microwave Doppler radar to detect the Doppler effect has been applied to the related research and equipment for detecting the motion of objects. Due to the advantages of high sensitivity and low hardware complexity of Doppler biological detection signals, it is widely used in the field of biological detection, heartbeat motion detec...

AI Technical Summary

Problems solved by technology

[0004] Traditional gesture recovery recognition uses computer image processing technology, which consumes huge hardware costs and requires hands to be exposed to the effective angle range of the camera, so it is currently limited to simple applications such as gesture games

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