A Cloud-based Fall Detection System for Elderly Care with Passive RFID Sensor Tags
Koichi Takatou, Norihiko Shinomiya · 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) · 2021
Along with the aging population, the high incidence of fall accidents by elderly people has been a serious worldwide issue. Even though early detection of accidents is indispensable to avoid the fatal risk, a practical situation is severe due to the lack of caregivers. Especially, it is required to keep delays to a minimum when deploying a detection system in nursing homes. Therefore, a real-time monitoring system for elderly care is essential in nursing homes. This paper proposes a cloud-based system for detecting the fall accidents by the elderly in real-time with passive RFID sensor tags. We have developed and implemented a prototype system using a public cloud service.