Behavior recognition method based on ultrasonic signals
As a research hotspot in the field of computer vision in recent years,the behavior recognition technology used in China mainly relies on the video and images captured by cameras for relevant visual processing such as classification,recognition and target detection.In order to reduce the consumption of behavior recognition and protect user privacy,a behavior recognition technology based on Doppler effect is proposed and implemented.The main technical process includes generating ultrasonic signal,audio conversion,noise reduction,continuous audio cutting,Fourier transform,and CNN classification and recognition.The accuracy of behavior recognition can reach 96.32%.It has certain generalization performance and broad application prospects.
NETL
NSTL
万方数据
维普
