@article{ref1,
title="Prediction of occupant posture in pre-crash by a muscle control method using a whole body musculo-skeletal FE model and a mathematical model of learning in brain",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2012",
author="Iwamoto, Masami and Min, Kyuengbo and Kimpara, Hideyuki",
volume="43",
number="4",
pages="905-910",
abstract="Muscular control algorithm using reinforcement learning, which is supposed to be a mathematical model of learning process in the basal ganglia associated with human postural control was developed to predict occupant postures in pre-crash which could affect occupant injury outcomes in a crash. The algorithm was applied to a musculo-skeletal finite element (FE) model of human whole body. Simulations using the FE model under a condition with a brake deceleration predicted occupant postures in pre-crash.<p /><p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.43.905",
url="http://dx.doi.org/10.11351/jsaeronbun.43.905"
}