Development of Fall Detection System Using Depth Camera for Monitoring Elderly People Living Alone
Eisuke TOMITA, Akinori SEKIGUCHI · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2024
In Japan, the proportion of elderly people living alone is increasing, and there is a concern that in emergencies such as accidents, they may be unable to contact external help. Therefore, this study aims to develop a fall detection system for monitoring elderly individuals living alone. Using a depth camera to measure body acceleration, sudden accelerations during falls were confirmed. Furthermore, we created an inverted pendulum model in a dynamics simulator, conducted simulations of acceleration characteristics, and compared them with the measured acceleration during falls. As a result, it is considered that the inverted pendulum model is useful as training data for fall detection.