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.
@article{arxiv.2407.12537,
title = {Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile Companion Robot},
author = {Yunwang Chen and Yaozhong Kang and Ziqi Zhao and Yue Hong and Lingxiao Meng and Max Q. -H. Meng},
journal= {arXiv preprint arXiv:2407.12537},
year = {2024}
}