Intentionality estimation of hand movement distance by machine learning

Abstract

The goal of preventing 50% of traffic accidents worldwide has been set. Japan is also implementing traffic safety initiatives. Elderly people aged 65 or older account for 57.7% of traffic fatalities in Japan. One of the reasons for this is that their reaction time is slower than that of younger people. Therefore, it is necessary to increase the reaction speed. Surface EMG, a type of biological signal, is a signal that appears before the start of a movement. In this study, we used machine learning to estimate the intention to move.