Citation

Iwamoto M, Min K, Kimpara H. Trans. Soc. Automot. Eng. Jpn. 2012; 43(5): 1111-1116.

Copyright

(Copyright © 2012, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.43.1111

PMID

unavailable

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.

Language: ja

Keywords

anthropomorphic dummy; Head-neck; Muscle activation; rear end collision; safety