IoT-based real-time monitoring system for fall detection of the elderly with passive RFID sensor tags
Koichi Takatou, Norihiko Shinomiya · 2020
In rapidly aging society in Japan, the lack of care-givers may cause a delay in detection when the elderly have an accident in a care home. A monitoring system for the elderly is expected to prevent aggravation of the health condition for them due to the delay in detecting accidents. This paper proposes a real-time monitoring system of fall detection using passive RFID sensor tags. We have implemented and evaluated a prototype system from the acquisition of sensor data to the output of the results using a public cloud service such as Microsoft Azure. The data communication to the cloud service has been successful, while the continuous output of changes in sensor data is still unstable.