Micro-gesture identification method and system based on ultrasonic active detection

Abstract

The invention provides a micro-gesture identification method and system based on ultrasonic active detection. The method includes the following steps of emitting an ultrasonic signal and receiving an ultrasonic echo signal, reflected by an identified gesture action, of the ultrasonic signal; comparing the ultrasonic signal with the ultrasonic echo signal to obtain the reception time delay and frequency resolution variance of the ultrasonic signal and the ultrasonic echo signal; according to the reception time delay and frequency resolution variance, obtaining the distance and velocity information of the timing sequence in the ultrasonic echo signal; and according to the distance and velocity information, performing identification and determination on the identified gesture action through a data driving pattern recognition algorithm. The micro-gesture identification method and system can accurately identify the micro-gesture actions and have the advantages of high resolution, high robustness, low consumption, and low algorithm complexity.

Description

technical field [0001] The invention relates to the technical field of target recognition, in particular to a micro gesture recognition method and system based on ultrasonic active detection. Background technique [0002] The micro-gesture recognition system refers to an electronic system that classifies and recognizes subtle dynamic gestures over a period of time to achieve the purpose of human-computer interaction. Compared with gestures that involve the entire hand movement, such as the large wave of the hand used in the current common gesture recognition methods, the micro gesture recognition system aims to use human hands and fingers to pinch, rub, and rotate, which are in line with people's natural manipulation habits. Subtle dynamic gestures realize the interaction between people and smart devices. [0003] The micro-gesture recognition system has important practical significance and application prospects. With the development of wearable devices, traditional touch ...

AI Technical Summary

Problems solved by technology

[0004] The technical methods based on RGB camera and infrared camera are relatively mature, and are widely used in the recognition of large-scale motion and posture of the human body. However, the application of the above sensors and technologies in micro-gesture recognition encounters difficulties: Factors (illumination, background material) and other aspects are limited; second, the visual images acquired by these sensors contain a lot of redundant information, and the workload of prep...

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