Posture Estimation Method Using Cushion Type Seat Pressure Sensor

Abstract

Most of our daily activities consist of standing, sitting, lying and walking. Above all, sitting behavior is said to account for more than half of the waking hours, and it can be said that it is directly connected to the quality of our lives. In this research, we propose a method to evaluate the user's posture from the pressure distribution measured by the cushion type seat pressure sensor. In the proposed method, a classifier based on fuzzy inference is created from pressure values obtained from 16 pressure sensors, and the difference in posture such as normal posture and humpback, and daily life operation such as reading and paperwork are classified. The experimental results show that identification is possible with an accuracy of about 87%.