@article{ref1,
title="Prediction of head-neck motions during rear-end impacts using a human body fe model with muscle activity",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2012",
author="Iwamoto, Masami and Min, Kyuengbo and Kimpara, Hideyuki",
volume="43",
number="5",
pages="1111-1116",
abstract="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.<p /><p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.43.1111",
url="http://dx.doi.org/10.11351/jsaeronbun.43.1111"
}