Optimal Foot Shape for a Passive Dynamic Biped.
From: Sports Biomechanics Laboratory, Department of Mechanical and Aeronautical Engineering, University of California, Davis, CA 95616, USA.
Journal of theoretical biology
- Publish Date: Sep 2007
- ISSN: 0022-5193
- Volume: 248
- Issue: 2
- Pages: 331-9
- Medium: Print
- Language: English
- Citation (JAMA): Kwan Maxine, Hubbard Mont, et al. Optimal Foot Shape for a Passive Dynamic Biped.. J. Theor. Biol. Sep 2007;248:331-9
Abstract
Passive walking dynamics describe the motion of a biped that is able to “walk” down a shallow slope without any actuation or control. Instead, the walker relies on gravitational and inertial effects to propel itself forward, exhibiting a gait quite similar to that of humans. These purely passive models depend on potential energy to overcome the energy lost when the foot impacts the ground. Previous research has demonstrated that energy loss at heel-strike can vary widely for a given speed, depending on the nature of the collision. The point of foot contact with the ground (relative to the hip) can have a significant effect: semi-circular (round) feet soften the impact, resulting in much smaller losses than point-foot walkers. Collisional losses are also lower if a single impulse is broken up into a series of smaller impulses that gradually redirect the velocity of the center of mass rather than a single abrupt impulse. Using this principle, a model was created where foot-strike occurs over two impulses, “heel-strike” and “toe-strike,” representative of the initial impact of the heel and the following impact as the ball of the foot strikes the ground. Having two collisions with the flat-foot model did improve efficiency over the point-foot model. Representation of the flat-foot walker as a rimless wheel helped to explain the optimal flat-foot shape, driven by symmetry of the virtual spoke angles. The optimal long period foot shape of the simple passive walking model was not very representative of the human foot shape, although a reasonably anthropometric foot shape was predicted by the short period solution.
Mesh Headings (Keywords): Biomechanics, Computer Simulation, Foot, Gait, Gravitation, Humans, Models, Anatomic, Walking, Weight-Bearing
Check for Full Text / PubMed Unique Identifier (PMID): 17570405
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