Literature DB >> 24057114

Foot trajectory approximation using the pendulum model of walking.

Juan Fang1, Aleksandra Vuckovic, Sujay Galen, Bernard A Conway, Kenneth J Hunt.   

Abstract

Generating a natural foot trajectory is an important objective in robotic systems for rehabilitation of walking. Human walking has pendular properties, so the pendulum model of walking has been used in bipedal robots which produce rhythmic gait patterns. Whether natural foot trajectories can be produced by the pendulum model needs to be addressed as a first step towards applying the pendulum concept in gait orthosis design. This study investigated circle approximation of the foot trajectories, with focus on the geometry of the pendulum model of walking. Three able-bodied subjects walked overground at various speeds, and foot trajectories relative to the hip were analysed. Four circle approximation approaches were developed, and best-fit circle algorithms were derived to fit the trajectories of the ankle, heel and toe. The study confirmed that the ankle and heel trajectories during stance and the toe trajectory in both the stance and the swing phases during walking at various speeds could be well modelled by a rigid pendulum. All the pendulum models were centred around the hip with pendular lengths approximately equal to the segment distances from the hip. This observation provides a new approach for using the pendulum model of walking in gait orthosis design.

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Year:  2013        PMID: 24057114     DOI: 10.1007/s11517-013-1117-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  13 in total

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2.  Roll-over shapes of human locomotor systems: effects of walking speed.

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3.  Foot trajectory in human gait: a precise and multifactorial motor control task.

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5.  Ballistic walking.

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6.  Kinematic modelling of a robotic gait device for early rehabilitation of walking.

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  2 in total

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Journal:  Med Biol Eng Comput       Date:  2015-11-20       Impact factor: 2.602

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