Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile Companion Robot
<|reference_start|>Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile Companion Robot: 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.<|reference_end|>
@article{chen2024collaborative,
    title={Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile
  Companion Robot},
    author={Yunwang Chen, Yaozhong Kang, Ziqi Zhao, Yue Hong, Lingxiao Meng, and
  Max Q.-H. Meng},
    journal={arXiv preprint arXiv:2407.12537},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.12537},
    primaryClass={cs.RO eess.SP}
}