Human body posture recognition system based on millimeter-wave radar

Abstract

The invention belongs to the technical field of mode recognition, and particularly relates to a human body posture recognition system based on millimeter-wave radar. The system comprises a millimeterwave radar subsystem, a data processing and tracking positioning subsystem and an artificial intelligence classification subsystem. The millimeter wave radar subsystem transmits linear frequency modulation continuous wave signals to a detection range, collects radar echo data reflected by a human body, and outputs intermediate frequency original data after frequency mixing, filtering and analog-to-digital conversion sampling. The data processing and tracking positioning subsystem extracts various characteristics, including distance, speed, acceleration, orientation characteristics and the like, capable of representing the posture of the human body from the original data, and tracks and positions the position of the human body in real time. The artificial intelligence classification subsystem filters, classifies and judges the feature information, and determines the posture of the human body by integrating classification and judgment results. The system aims at human body posture recognition and state monitoring in real life, and can be suitable for scenes such as families, offices, factory workshops, hospital wards and nursing homes.

Description

[0001] field of invention [0002] The invention belongs to the technical field of pattern recognition, and in particular relates to a human body gesture recognition system based on millimeter wave radar. Background technique [0003] With the advancement of technology and the development of the market, the degree of intelligence in production and life is getting higher and higher. An important technology indispensable to the intelligentization of production and life is human body gesture recognition. With the promotion of the AIoT tide and the support of national policies, touch-based interactive methods urgently need intelligent transformation. In the future society, human-computer interaction, control, detection, monitoring, etc. will all develop towards automation and intelligence, and this requires non-contact, all-weather, convenient and non-inductive, and user-defined human gesture recognition technology. [0004] At present, there are some human body posture recognit...

AI Technical Summary

Problems solved by technology

[0006] In order to improve the convenience and accuracy of control in human body gesture recognition, overcome the high computational overhead based on traditional visual image methods, high requirements on lighting conditions, inability to penetrate or bypass obstacles, poor anti-interference ability, and risk of leaking user privacy and other defects, the present invention uses millimeter-wave radar as a data acquisition terminal, and designs a set of human body posture recognition systems and methods based on millimeter-wave radar combined with artificial intelligence methods

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