Research of Elderly People's Abnormal Behavior Detection System by Floor Laying Pressure Sensor
Hiroaki ONO, Syumpei EGUCHI, Hikaru Takeda, Hirokazu Seki · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2017
In recent years, the increase in accidents and lonely death in the home has become a social problem due to the increase of the elderly living alone. Therefore this paper proposes an elderly people's abnormal behavior detection system by the floor laying pressure sensor. The system consists of more than 30 belt-like sensors and the sensing data provides many important information such as the subject position and the amount of movement.The feature patterns appeared in daily samples such as housework and sleeping are modeled by fuzzy inference and then the abnormal patterns can be detected as non-existent feature patterns using the possibility distribution estimation. Some experiments are provided to verify the effectiveness of the proposed system.