Falling event detection method based on channel state information in indoor environment

A channel state information, indoor environment technology, applied in the field of fall event detection, can solve the problems of weak anti-interference and high cost, and achieve the effect of low deployment and maintenance cost, convenient use, efficient and accurate real-time detection

Active Publication Date: 2021-02-05
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of high cost and low anti-interference ability in detecting whether the user has a fall event in the indoor environment, and creatively propose a method of using commercial Wi-Fi equipment to detect whether the user has a fall in the indoor environment. The method by which the event occurs

Method used

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  • Falling event detection method based on channel state information in indoor environment
  • Falling event detection method based on channel state information in indoor environment
  • Falling event detection method based on channel state information in indoor environment

Examples

Experimental program
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Embodiment

[0048] To test the performance of this method, a Wi-Fi device and three antennas are deployed in an indoor scenario for data collection. The Wi-Fi signal uses channel No. 64 of the 5G frequency band. The center frequency of this channel is 5320MHz and the bandwidth is 20MHz. The sampling rate of the antenna is set to 1000 packets per second. And 3 volunteers were recruited as users to perform falls and daily activities in different indoor scenarios.

[0049] First, test the overall accuracy of this method in an indoor environment. figure 2 The overall accuracy of our method and two other fall detection methods (RT-Fall and Fall-Defi) is shown. It can be seen from the figure that the overall accuracy rate of this method for detecting falls is 95.8%, while the overall accuracy rates of the other two methods are only 81.6% and 88.9%, which fully demonstrates that this method has higher accuracy in indoor environments .

[0050] Then, the detection performance of this method ...

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Abstract

The invention discloses a falling event detection method based on channel state information in an indoor environment. According to the method, commercial Wi-Fi equipment and a receiving antenna are used for collecting Wi-Fi signals generated when a user performs daily activities in an indoor environment, whether the user has activities or not is determined by analyzing channel state information ofthe Wi-Fi signals, including information such as amplitude, phase and dynamic path components of the signals, and then a machine learning method is combined, effective features are extracted from signal changes caused by user activities to judge whether the user activities are falling events or not, and finally falling event detection in an indoor environment is achieved. According to the invention, the Wi-Fi signals are sent only by the commercial Wi-Fi equipment, and a group of antennas receive the Wi-Fi signals, so that the deployment and maintenance cost is low, the use is convenient, theprivacy leakage problem does not exist, and the method is particularly suitable for the indoor detection environment of a single person and has very high accuracy.

Description

technical field [0001] The present invention relates to a fall event detection method, in particular to a fall event detection method based on channel state information of a Wi-Fi signal in an indoor environment, which is used to detect whether a fall event occurs in an indoor environment, and belongs to wireless network channel state information Field of application methods. Background technique [0002] In recent years, with the substantial increase in the number of elderly people, the safety of the elderly in indoor environments has aroused widespread concern. Among various daily behaviors and activities, falls are one of the most dangerous events for the elderly, especially those who live alone. If there is a lack of timely alarm and rescue, falls can easily cause serious and unpredictable injuries to the health of the elderly. Studies have shown that about 50% of falls in the elderly occur indoors. Therefore, fast and accurate detection of falls in indoor environment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/04H04B17/309H04W4/33H04W84/12
CPCG08B21/043H04W84/12H04B17/309H04W4/33
Inventor 杨松吴玥王永川李凡
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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