A Study for Statistical Machine Learning to Classify Radial Motions

Abstract

It has been reported that the motion sickness is induced by visual approaches especially in the peripheral vision. Human visual information in peripheral is processed along dorsal streams in the brain. In this paper, we measured the radial motion of the young and the elderly while viewing video clips. We herein conducted the statistical machine learning (ML) to classify any test data into the peripheral and central vision. As a result, the values of the accuracy in the young were tended to be higher than those in the elderly. In addition, a comparison of the correct rate of the classification between peripheral and central vision showed that the rate for the central vision was higher than that for the peripheral vision.