TY  - JOUR
PY  - 2012//
TI  - 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
JO  - Transactions of Society of Automotive Engineers of Japan
A1  - Iwamoto, Masami
A1  - Min, Kyuengbo
A1  - Kimpara, Hideyuki
SP  - 905
EP  - 910
VL  - 43
IS  - 4
N2  - 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>
LA  - ja
SN  - 0287-8321
UR  - http://dx.doi.org/10.11351/jsaeronbun.43.905
ID  - ref1
ER  -