Non-contact type gesture recognition system and method based on continuous-wave micro-Doppler radar

Abstract

The invention discloses a non-contact type gesture recognition system and method based on a continuous-wave micro-Doppler radar.A transmitting chain comprises a baseband signal generation module, a transmitter and a transmitting antenna; a receiving chain comprises a signal collection and processing module, three receivers and receiving antennae connected with the receivers respectively, and the signal collection and processing module is connected with an upper computer and is in clock synchronization with the baseband signal generation module; patch antennas are used as the antennae which face the direction of a human hand in parallel, and the three receiving antennae are different in locating place and are not collinear; a transmitted signal is reflected by an object and then received by the receiving antennae, a motion trajectory of the whole human hand in a three-dimensional space is obtained through data resolving of different received and collected signals, and movements of fingers are obtained through characteristic matching recognition of the collected signals.According to the non-contact type gesture recognition system and method based on the continuous-wave micro-Doppler radar, locating, tracking and gesture recognition of the human hand in the three-dimensional space are achieved in a non-contact mode, the advantages of being high in anti-interference capacity, simple in architecture and low in cost are achieved, data processing is convenient, and computing resources are saved.

Description

technical field [0001] The invention relates to a non-contact gesture recognition system, in particular to a non-contact gesture recognition system and method based on continuous wave micro-Doppler radar. Background technique [0002] With the development of computer technology, human-computer interaction has become more and more important. Gesture recognition, as an important branch, has the advantages of fast input speed, adaptability to people's living habits, multiple input types, and high degree of freedom. Especially in smart systems with small display screens such as wearable devices in the future, as well as emerging virtual reality interactive applications, low-cost, fast and convenient gesture recognition technology is particularly necessary. [0003] Traditional gesture recognition technologies are mostly camera-based image recognition, which has the advantages of complex and diverse gestures and high recognition accuracy. However, its recognition and solution re...

AI Technical Summary

Problems solved by technology

However, traditional single-receive-link radars can only measure one-dimensional motion and recognize simple gestures

Moreover, the signal

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