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A Fall 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: 2021-07-06
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • A Fall Event Detection Method Based on Channel State Information in Indoor Environment
  • A Fall Event Detection Method Based on Channel State Information in Indoor Environment
  • A Fall Event Detection Method Based on Channel State Information in Indoor Environment

Examples

Experimental program
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Effect test

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 fall event detection method based on channel state information in an indoor environment. This method uses commercial Wi-Fi equipment and receiving antennas to collect Wi-Fi signals when users perform daily activities in an indoor environment, and analyzes the channel state information of Wi-Fi signals, including signal amplitude, phase and dynamic path components. and other information to determine whether the user has activities, and then combine machine learning methods to extract effective features from the signal changes caused by user activities to determine whether the user activity is a fall event, and finally realize the fall event detection in the indoor environment. The present invention only relies on commercial Wi-Fi equipment to send Wi-Fi signals, and a group of antennas receive Wi-Fi signals. The deployment and maintenance costs are low, the use is convenient, and there is no privacy leakage problem. It is especially suitable for single-person indoor detection environments and has the advantages of 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 Patents(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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