Human body posture recognition system based on millimeter-wave radar

A millimeter-wave radar, human body posture technology, applied in the field of pattern recognition, can solve the problems of inability to penetrate or bypass obstacles, high requirements for lighting conditions, leakage of user privacy risks, etc., to achieve scalability, adaptability, and wide adaptability. The effect of accurate and reliable identification results

Active Publication Date: 2020-04-10
FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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-interferenc

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  • Human body posture recognition system based on millimeter-wave radar
  • Human body posture recognition system based on millimeter-wave radar
  • Human body posture recognition system based on millimeter-wave radar

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Embodiment Construction

[0053] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is carried out on the premise of the technical solution of the present invention, and the detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments. All other embodiments obtained under the premise of no creative work shall belong to the protection scope of the present invention.

[0054] An application scenario of one of the embodiments of the present invention is as Figure 4 Shown:

[0055] (1) Install the millimeter-wave radar system terminal (referred to as the terminal), and call its sensing and collection range "action space";

[0056] (2) Seven human body postures are preset, including forward, backward, sitting, squatting, standing, bending over, and falling. The human body is defined as "forward" when the human body is close t...

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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...

Claims

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Application Information

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IPC IPC(8): G01S13/42G01S13/58G01S13/88G06K9/00G06K9/62G06N3/02
CPCG01S13/42G01S13/584G01S13/88G06N3/02G06V40/20G06V40/10G06F18/22G06F18/24Y02D10/00
Inventor 夏朝阳周成龙介钧誉汪相锋周涛徐丰
Owner FUDAN UNIV
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