DocumentCode :
2020826
Title :
Dynamic simulation of human movement using large-scale models of the body
Author :
Pandy, Marcus G. ; Anderson, Frank C.
Author_Institution :
Dept. of Kinesiology & Program in Biomed. Eng., Texas Univ., Austin, TX, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
676
Abstract :
We develop a detailed model of the body and used it, together with dynamic optimization theory, to simulate two very different motor tasks: vertical jumping and walking. Dynamic optimization was used because this approach allows a model of both the system dynamics and the goal of the motor task to be included in the formulation of the problem. We first simulated a maximum vertical jump because this task presents a well defined performance criterion; it provides an excellent paradigm for evaluating the dynamic response of any model. Once the dynamic optimization problem for jumping was solved and the response of the model validated against experimental data, the model was then used to simulate normal walking over level ground
Keywords :
digital simulation; dynamics; gait analysis; optimisation; physiological models; computer simulation; dynamic optimization; dynamic response; dynamic simulation; human movement; large-scale models; musculoskeletal model; vertical jumping; walking; Biological system modeling; Computational modeling; Computer simulation; Joints; Kinematics; Large-scale systems; Legged locomotion; Muscles; Pelvis; Tendons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1050-4729
Print_ISBN :
0-7803-5886-4
Type :
conf
DOI :
10.1109/ROBOT.2000.844130
Filename :
844130
Link To Document :
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