@inproceedings{1297043653464bf2abf12b2e7f9f8fe9,
title = "Cooperative Fall Detection with Multiple Cameras",
abstract = "We propose a fall detection mechanism based on multi-camera cooperation in home space. Cameras capture image-based falling events, and self-organize a group using deep reinforcement learning. Neighbor cameras exchange sensing data and statuses in local network proximity. With information sharing in a group, cameras can improve the accuracy of decision making on falling events and cope with the limited fields of view against physical deployment of cameras in residential areas.",
keywords = "cooperative computing, Fall detection, health care, image recognition, smart home",
author = "Hou, {Jian Chiuan} and Xu, {Wei Ming} and Chu, {Yu Cheng} and Hu, {Chih Lin} and Chen, {Ying Hong} and Shi Chen and Lin Hui",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",
year = "2022",
doi = "10.1109/ICCE-Taiwan55306.2022.9869279",
language = "???core.languages.en_GB???",
series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "543--544",
booktitle = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",
}