6533b85cfe1ef96bd12bcab0

RESEARCH PRODUCT

odeling of Human Arm Energy Expenditure for Predicting Energy Optimal Trajectories

John RasmussenShaoping BaiLelai ZhouMichael Rygaard Hansen

subject

Engineeringbusiness.industryHuman armComputationWork (physics)Parameterized complexityMusculoskeletal modellcsh:QA75.5-76.95Motion (physics)Computer Science ApplicationsControl and Systems EngineeringControl theoryModeling and SimulationTorqueMetabolic costlcsh:Electronic computers. Computer sciencebusinessHuman arm motionRobotic armSoftwareSimulationEnergy (signal processing)ComputingMethodologies_COMPUTERGRAPHICS

description

Human arm motion can inspire the trajectory planning of anthropomorphic robotic arms to achieve energy-efficient movements. An approach for predicting metabolic cost in the planar human arm motion by means of the biomechanical simulation is proposed in this work. Two biomechanical models, including an analytical model and a musculoskeletal model, are developed to implement the proposed approach. The analytical model is developed by modifying a human muscle expenditure model, in which the muscles are grouped as torque providers for computation efficiency. In the musculoskeletal model, the predication of metabolic cost is conducted on the basis of individual muscles. With the proposed approach, metabolic costs for parameterized target-reaching arm motions are calculated and utilized to identify optimal arm trajectories.

https://doi.org/10.4173/mic.2011.3.1