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Prediction of Head-Neck Motions During Rear-End Impacts Using a Human Body FE Model With Muscle Activity
Published May 23, 2012 by Society of Automotive Engineers of Japan in Japan
Accurate prediction of occupant's head-neck motion during rear-end impacts is necessary to elucidate whiplash injury mechanism. This study applied a muscle control system using reinforcement learning, which is supposed to be a mathematical model of learning process in the basal ganglia, to a human head-neck finite element (FE) model and predicted muscle activity and motion of head-neck region during low speed rear-end impacts. Effects of muscle activity and individual variation of muscular physiological cross-sectional area for the head-neck responses were investigated.