Abnormal behavior detection of solitary elderly people using floor vibration

Abstract

In recent years, the solitary death of elderly people living alone has become a social problem, and demand for a monitoring system to detect abnormalities such as falls and impaired consciousness in the elderly has been increasing. We propose detection system of falls based on differences in the frequency characteristics of floor vibration sounds .We also devised a method to determine the threshold value of the alarm by measuring the staying at a location in the room by estimating the heel contact position. Experimental results showed that the system was able to detect falls with high accuracy. In addition, we were able to obtain effective threshold values for emergency notification for each location in the room.