The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
A Simple Model of Bipedal Walking Predicts the Preferred Speed–Step Length Relationship
Abstract
We used a simple model of passive dynamic walking, with the addition of active powering on level ground, to study the preferred relationship between speed and step length in humans. We tested several hypothetical metabolic costs, with one component proportional to the mechanical work associated with pushing off with the stance leg at toe-off, and another component associated with several possible costs of forcing oscillations of the swing leg. For this second component, a cost based on the amount of force needed to oscillate the leg divided by the time duration of that force predicts the preferred speed–step length relationship much better than other costs, such as the amount of mechanical work done in swinging the leg. The cost of force/time models the need to recruit fast muscle fibers for large forces at short durations. The actual mechanical work performed by muscles on the swing leg appears to be of relatively less importance, although it appears to be minimized by the use of short bursts of muscle activity in near-isometric conditions. The combined minimization of toe-off mechanical work and force divided by time predicts the preferred speed–step length relationship.
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Cites
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The Simplest Walking Model: Stability, Complexity, and Scaling
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Energetics of running: a new perspective
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Energetics of Actively Powered Locomotion Using the Simplest Walking Model
Kuo, A. D. (2002) · Journal of Biomechanical Engineering · doi:10.1115/1.1427703 · Cited by 736
Self-citationMechanical work and efficiency in level walking and running
Cavagna, G. A., & Kaneko, M. (1977) · The Journal of Physiology · doi:10.1113/jphysiol.1977.sp011866 · Cited by 664
Stabilization of Lateral Motion in Passive Dynamic Walking
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Self-citationOptimization and gaits in the locomotion of vertebrates
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Energy-Saving Mechanisms in Walking and Running
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External, Internal and Total Work in Human Locomotion
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Optimization of energy expenditure during level walking
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Cited by
Energetic Consequences of Walking Like an Inverted Pendulum: Step-to-Step Transitions
Kuo, A. D., Donelan, J. M., & Ruina, A. (2005) · Exercise and Sport Sciences Reviews · doi:10.1097/00003677-200504000-00006 · Cited by 675
Self-citationDonelan, J. M., Kram, R., & Kuo, A. D. (2002) · Journal of Experimental Biology · doi:10.1242/jeb.205.23.3717 · Cited by 670
Self-citationBiomechanics and muscle coordination of human walking
Zajac, F. E., Neptune, R. R., & Kautz, S. A. (2002) · Gait & Posture · doi:10.1016/s0966-6362(02)00068-1 · Cited by 615
Computer optimization of a minimal biped model discovers walking and running
Srinivasan, M., & Ruina, A. (2006) · Nature · doi:10.1038/nature04113 · Cited by 580
Mechanical and metabolic determinants of the preferred step width in human walking
Maxwell Donelan, J., Kram, R., & Arthur D., K. (2001) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2001.1761 · Cited by 552
Metadata
- Authors
- Kuo, A. D.
- Venue
- Journal of Biomechanical Engineering
- Publisher
- ASME International
- Published
- 2001-01-11
- Volume
- 123
- Issue
- 3
- Pages
- 264-269
- ISSN
- 0148-0731 (ISSN-L)
- 1528-8951
- OpenAlex
- W2105637477
- Cited by
- 444
- References
- 24
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.