Estimation of Discomfort in Passengers on an Electronic Wheelchair by the surrounding three dimentional shape

Abstract

When you get in automatic wheel chair, you may feel discomfort. This study assumes that the cause of the passenger’s feeling of anxiety is the surrounding environment, and aimed at generalizing passenger discomfort when the electric wheelchair is traveling autonomously．For this purpose, an experimental robot based on an electric wheelchair was used. By attaching 3D LiDAR as environmental observation devices to it, distance data of the robot’s surrounding environment is acquired. The acquired data is subjected to multiple regression analysis and regression analysis using a neural network to estimate the passenger’s sense of anxiety.