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Predicting Energy Consumption in Humans Using Joint Space Methods

[+] Author Affiliations
Dustyn P. Roberts, Joo H. Kim

Polytechnic Institute of New York University, Brooklyn, NY

Paper No. DETC2012-71353, pp. 673-679; 7 pages
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 38th Design Automation Conference, Parts A and B
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4502-8
  • Copyright © 2012 by ASME


Humans act as transducers that transform chemical energy from food, water, and air into mechanical work and the thermal energy of heat loss. Although this energy expenditure can be experimentally measured, methods of predicting energy expenditure have not been broadly studied. This work introduces a new formulation of metabolic energy consumption based on muscle physiology and the equations of motion for the human body. Kinematic and kinetic data from a gait experiment and an over-arm throwing simulation are used to illustrate and validate this new model. The results extend the capabilities of dynamic human modeling to include metabolic energy prediction in general tasks. This novel formulation is useful for the investigation of human performance with applications in physical therapy, rehabilitation, and sports.

Copyright © 2012 by ASME



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