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Conference Papers Year : 2015

Proposition of an algorithm for simulating natural variability in arm grasping posture when rotating a spherical object

Abstract

Digital human models are being more and more used in early phase of a product/workplace design. However, human motion simulation still faces the well-known problem of motor redundancy, implying that humans have more degrees of freedom than necessary to perform a given task. As a consequence, humans have an infinite number of possibilities to do one task. Solutions used nowadays in motion simulation are mainly based on optimization trying to find a unique solution that satisfies a set of constraints while minimizing an objective function. Nevertheless, some authors suggest that redundancy should be considered as an advantage rather than a problem to be solved. Indeed, Latash considers the human redundancy as an ability to adapt to the environment. Moreover, studies showed that different ways to perform a task can coexist, questioning the pertinence of looking for a unique solution. Then, natural motion variability should also be simulated. Grasping and manipulating an object with the hand is one of the routine tasks of human beings and is frequently encountered in workplace evaluation and product design. In case of rotating a spherical object, a recent study showed a large variation in arm posture when grasping the object for a given rotation amplitude. The work presented here aims at proposing a stochastic algorithm to predict the grasping posture as a function of the intended manipulation.
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Dates and versions

hal-01857650 , version 1 (20-09-2018)

Identifiers

  • HAL Id : hal-01857650 , version 1

Cite

Julien Lardy, Thomas Robert, Xuguang Wang. Proposition of an algorithm for simulating natural variability in arm grasping posture when rotating a spherical object. 25th congress of the International Society of Biomechanics, Jul 2015, GLASGOW, France. 2 p. ⟨hal-01857650⟩
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