Abstract
This paper addresses validation of a curvature-theory-based time-invariant inverse kinematic model and a related tracking algorithm for human motor control of reaching motions. Human subjects made unconstrained reaching motions in the horizontal plane to fixed targets at three self-selected speeds. Consistent shoulder/elbow joint speed ratios for motions to the same target across speeds were observed, indicating a time-invariant planning strategy. The inverse kinematic model’s technique of relating joint motions with a Taylor series expansion is in concert with the leading joint hypothesis. With this approach the tracking algorithm successfully replicated the experimental wrist trajectories, and also predicted the previously observed elbow-led motions for reaching in the ipsilateral hemifield. The elbow leads the arm motion in this hemifield because the shoulder approaches a dwell. A computationally frugal strategy of intermittent path correction based on two error parameters is proposed.
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References
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Ambike, S., Schmiedeler, J.P. (2008). Time-Invariant Strategies in Coordination of Human Reaching. In: Lenarčič, J., Wenger, P. (eds) Advances in Robot Kinematics: Analysis and Design. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8600-7_22
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DOI: https://doi.org/10.1007/978-1-4020-8600-7_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8599-4
Online ISBN: 978-1-4020-8600-7
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