# BeSense: Leveraging WiFi Channel Data and Computational Intelligence for   Behavior Analysis

**Authors:** Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren

arXiv: 1907.06005 · 2020-05-25

## TL;DR

BeSense is a novel system that uses WiFi channel state information and computational intelligence to unobtrusively analyze user behavior in real-world environments, avoiding traditional sensors or vision-based methods.

## Contribution

The paper introduces BeSense, a contactless behavior analysis system leveraging WiFi CSI and computational intelligence, with a prototype tested on low-cost devices.

## Key findings

- Effective recognition of user behaviors in real-world environments
- Successful prototype implementation on commodity WiFi devices
- Verification of system's accuracy through experimental results

## Abstract

The ever evolving informatics technology has gradually bounded human and computer in a compact way. Understanding user behavior becomes a key enabler in many fields such as sedentary-related healthcare, human-computer interaction (HCI) and affective computing. Traditional sensor-based and vision-based user behavior analysis approaches are obtrusive in general, hindering their usage in realworld. Therefore, in this article, we first introduce WiFi signal as a new source instead of sensor and vision for unobtrusive user behaviors analysis. Then we design BeSense, a contactless behavior analysis system leveraging signal processing and computational intelligence over WiFi channel state information (CSI). We prototype BeSense on commodity low-cost WiFi devices and evaluate its performance in realworld environments. Experimental results have verified its effectiveness in recognizing user behaviors.

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Source: https://tomesphere.com/paper/1907.06005