Wireless unbound human body behavior detection algorithm

Abstract

The invention discloses a wireless unbound human body behavior detection algorithm. The objective of the invention is to identify human body behaviors through analyzing the different change patterns of channel state information. With the algorithm adopted, high recognition accuracy can be realized, and at the same time, convenience and safety can be realized. According to the technical schemes of the invention, a wireless transmitting end establishes a wifi field; when a user walks or does a certain action in a wifi coverage range, specific influences will be exerted on a wifi channel; and a wireless receiving end is adopted to receive wifi signals, calculate the CSI value of the action, and extract channel change features. According to the algorithm, based on different change characteristics generated for the wifi channel by the movement or action conduction of the person in the wifi field, the different change patterns of the channel state information are analyzed; feature extraction and classification matching algorithms are adopted to carry out behavior identification; the different change patterns of human body behaviors and the channel are combined; and therefore, the human body behaviors can be identified through the features of the wifi channel.

Description

technical field [0001] The invention belongs to the fields of feature extraction, pattern recognition and behavior detection, and in particular relates to a wireless unbound human behavior detection algorithm. Background technique [0002] At present, with the development of science and technology and the improvement of people's living standards, the concept of smart home and virtual reality technology have developed rapidly. For example, people can control smart devices indoors through specific gestures, and achieve better game experience and human-computer interaction through physical behavior simulation operations. At the same time, people have also put forward new requirements for life monitoring technology. A health monitoring system that reflects people's physical condition by detecting abnormal behaviors such as people's sitting and sleeping positions, whether they smoke or not; a life warning system that can promptly prompt and notify medical staff and family member...

AI Technical Summary

Problems solved by technology

[0004] The camera-based image recognition algorithm can usually realize a high-precision behavior detection system, but such a system requires people to be within the monitoring range of the camera, and it is easy to produce monitoring blind spots under the influence of obstacles and light. Great interference with people's private lives

[0005] Sensor-based detection algorithms require users to bind special devices to their bodies for behavior perception. Although such a system will not affect user privacy, it cannot satisfy the convenience of use.

[0006] The detection algorithm based on wifi signal recognizes body behavior by analyzing the different change patterns of human behavior on signal frequency, amplitude and other characteristics, because these signal characteristics contain less information, and the existing system does not have the ability to analyze complex body behavior , making the recognition accuracy and practicability of the system subject to certain limitations

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