Predicting energy consumption in humans using joint space methods

Dustyn P. Roberts, Joo Hyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012
Pages673-679
Number of pages7
Volume3
EditionPARTS A AND B
DOIs
StatePublished - 2012
EventASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012 - Chicago, IL, United States
Duration: Aug 12 2012Aug 12 2012

Other

OtherASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012
CountryUnited States
CityChicago, IL
Period8/12/128/12/12

Fingerprint

Energy Consumption
Energy utilization
Physical therapy
Physiology
Sports
Thermal energy
Energy
Heat losses
Patient rehabilitation
Equations of motion
Muscle
Transducers
Kinematics
Kinetics
Air
Human Performance
Formulation
Rehabilitation
Gait
Water

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Roberts, D. P., & Kim, J. H. (2012). Predicting energy consumption in humans using joint space methods. In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012 (PARTS A AND B ed., Vol. 3, pp. 673-679) https://doi.org/10.1115/DETC2012-71353

Predicting energy consumption in humans using joint space methods. / Roberts, Dustyn P.; Kim, Joo Hyun.

ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012. Vol. 3 PARTS A AND B. ed. 2012. p. 673-679.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Roberts, DP & Kim, JH 2012, Predicting energy consumption in humans using joint space methods. in ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012. PARTS A AND B edn, vol. 3, pp. 673-679, ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012, Chicago, IL, United States, 8/12/12. https://doi.org/10.1115/DETC2012-71353
Roberts DP, Kim JH. Predicting energy consumption in humans using joint space methods. In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012. PARTS A AND B ed. Vol. 3. 2012. p. 673-679 https://doi.org/10.1115/DETC2012-71353
Roberts, Dustyn P. ; Kim, Joo Hyun. / Predicting energy consumption in humans using joint space methods. ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2012. Vol. 3 PARTS A AND B. ed. 2012. pp. 673-679
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