Title: Prediction and analysis of human motion dynamics performing various tasks

Authors: Joo H. Kim, Karim Abdel-Malek, Jingzhou Yang, R. Timothy Marler

Addresses: Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa, 111 Engineering Research Facility, Iowa City, IA 52242-1000, USA. ' Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa, 111 Engineering Research Facility, Iowa City, IA 52242-1000, USA. ' Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa, 111 Engineering Research Facility, Iowa City, IA 52242-1000, USA. ' Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa, 111 Engineering Research Facility, Iowa City, IA 52242-1000, USA

Abstract: Several digital human softwares have shown the capabilities of simulating simple reach motions. However, predicting the dynamic effects on human motion due to different task loads is still immature. This paper presents an optimisation-based algorithm for simulating the dynamic motion of a digital human. The hypothesis is that human performance measures such as the total energy consumption governs human motion; thus the process of human motion simulation can be formulated as an optimisation problem that minimises human performance measures given at different constraints and hand loads, corresponding to a number of tasks. General equations of motion using Lagrangian dynamics method are derived for the digital human, and human metabolic energy is formulated in terms of joint space. Joint actuator torques and metabolic energy expenditure during motion are formulated and calculated within the algorithm, and it is applied to Santos™, a kinematically realistic digital human, developed at the University of Iowa. Results show that different external loads and tasks lead to different human motions and actuator torque distributions.

Keywords: actuator torque; Lagrangian dynamics; motion prediction; optimisation; redundancy; motion analysis; human motion dynamics; modelling; simulation; digital humans; metabolic energy; joint space; virtual prototyping; performance levels.

DOI: 10.1504/IJHFMS.2006.011683

International Journal of Human Factors Modelling and Simulation, 2006 Vol.1 No.1, pp.69 - 94

Published online: 14 Dec 2006 *

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