Motion Detection using CSI from Raspberry Pi 4

• URL: http://arxiv.org/abs/2111.09091v1
• Date: Wed, 17 Nov 2021 13:17:02 GMT
• Title: Motion Detection using CSI from Raspberry Pi 4
• Authors: Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare
• Abstract summary: Channel State Information (CSI) is a low cost, unintrusive form of radio sensing. We have developed a novel, self-calibrating motion detection system which uses CSI data collected and processed on a stock Raspberry Pi 4.
• Score: 5.826796031213696
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Monitoring behaviour in smart homes using sensors can offer insights into changes in the independent ability and long-term health of residents. Passive Infrared motion sensors (PIRs) are standard, however may not accurately track the full duration of movement. They also require line-of-sight to detect motion which can restrict performance and ensures they must be visible to residents. Channel State Information (CSI) is a low cost, unintrusive form of radio sensing which can monitor movement but also offers opportunities to generate rich data. We have developed a novel, self-calibrating motion detection system which uses CSI data collected and processed on a stock Raspberry Pi 4. This system exploits the correlation between CSI frames, on which we perform variance analysis using our algorithm to accurately measure the full period of a resident's movement. We demonstrate the effectiveness of this approach in several real-world environments. Experiments conducted demonstrate that activity start and end time can be accurately detected for motion examples of different intensities at different locations.

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