The recording system of the movement characteristics triggered by falling for the analysis of the elderly persons’ falls

Abstract

In this study, we prototyped the system that collects data of the movement related to falling for the analysis of the elderly persons’ falls. Focusing on the head height and acceleration of front waist as indicators for analysis of falls, we connected sensors that collects these data and the system. After detecting falls by using fall detection algorithms based on the collected data, the system records data obtained from sensors and creates time series data, metadata, and traffic flow data as data for fall analysis. As an evaluation of the system's performance in collecting data on falls, we checked fall detection accuracy rate and the operation of the system when performing simulated falls and motions that are likely to be considered falls. As the result of the experiment, in three types of sensor systems, the system correctly detected simulated fallings 83 % or more and created data for analysis. In this paper, we confirmed the system could collect the movement progress data required for analysis of falls.