A comparison study on the method to extract images from animations
Hiroe ABE, Luis Diago, Ichiro Hagiwara · Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu · 2018
The ride comfort evaluation is currently done for a driver, and in the future with realization of automatic driving, the evaluation will be carried out for crew members. In this study, we aim at predicting crew members' states from their expressions in order to optimize their ride comfort evaluation. As the first report, we measured a state of a passenger in virtual self-driving car using his expression and brain waves. We removed unnecessary information from the monitored animation and developed an algorithm to search quickly for a crew member's face part using the color of his face. Here we discuss the merits and demerits of our developed algorithm comparing with Viola–Jones which is a generally used object extraction algorithm.