Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile Companion Robot

TL;DR

This paper introduces a system combining Wi-Fi sensing and a mobile robot to detect falls non-intrusively and respond autonomously, enhancing safety and assistance in various environments.

Contribution

It presents a novel integrated system that uses Wi-Fi CSI disruptions for fall detection and a robot for autonomous response, improving upon existing methods.

Findings

Effective fall detection in NLOS scenarios

Successful autonomous response by the robot

High accuracy demonstrated in experiments

Abstract

This paper presents a collaborative fall detection and response system integrating Wi-Fi sensing with robotic assistance. The proposed system leverages channel state information (CSI) disruptions caused by movements to detect falls in non-line-of-sight (NLOS) scenarios, offering non-intrusive monitoring. Besides, a companion robot is utilized to provide assistance capabilities to navigate and respond to incidents autonomously, improving efficiency in providing assistance in various environments. The experimental results demonstrate the effectiveness of the proposed system in detecting falls and responding effectively.