A Wireless Unbound Human Behavior Detection Algorithm

Abstract

The invention discloses a wireless unbound human behavior detection algorithm, the purpose of which is to identify human behavior by analyzing different change modes of channel state information, which can satisfy convenience and safety while achieving high recognition accuracy. The technical solution adopted is: use the wireless transmitter to establish a wifi field, when the user walks or makes certain actions in the wifi coverage area, it will have a specific impact on the wifi channel, and use the wireless receiver to receive the wifi signal and calculate the action CSI value, extract channel change features, use the different change features of the wifi channel when people move in the wifi field or perform certain actions, analyze the different change patterns of channel state information, and use feature extraction and classification matching algorithms to perform behavior Recognition, combining human behavior and different change modes of the channel, so as to realize the recognition of human behavior with wifi channel characteristics.

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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