生理的指標を用いたドライビングシミュレータにおける動揺病解析

抄録

With the accelerated development of automated driving technology, health hazards such as motion sickness are a concern. In this study, we used a driving simulator, Polymate II AP216 bio-measuring device and Emotiv+electroencephalography (EEG) system to analyze agitation-related diseases. As a result, an increase in the frequency of the center of gravity of the breath was observed. In addition, the LF/HF data showed a respiration-related component. The EEG showed a divergence of the left and right EEGs in the visual cortex, suggesting that they were affected by agitation sickness and VR sickness. Our future research goals are to improve ride quality in automated driving and to develop an analysis system that can detect motion sickness by analyzing EEG alone.