Quantization of Human Motions and Learning of Accurate Movements

Human arm movements are smooth and can be described well using mathematical models maximizing smoothness. A close examination of slow or accurate movements shows that the motion is, however, segmented in submotions, suggesting that the motion is generated in a discrete way. We investigate how the control, using visual and kinesthetic feedback, deals with this motion quantization and performs typical tasks.

Generating movements with discrete submovements provides a very economic way of planning smooth movements. Our study may also lead to efficient motion planners for machines and computer animated figures.


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June 1998, by E. Burdet