Influence of motor imagery on learning under complex external dynamics.

Annu Int Conf IEEE Eng Med Biol Soc

Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midoriku, Yokohama-shi, Kanagawa, Japan.

Published: April 2010

AI Article Synopsis

  • Humans have a remarkable ability to adapt their movements, which is important for both robotics and neuroscience studies.
  • This research explores using motor imagery techniques to enhance learning in a robot-based task that involves a mixed force field with both velocity and position components.
  • Findings indicate that mental practice can positively affect motor learning and potentially speed up the adaptation process during rehabilitation.

Article Abstract

Humans are remarkable in their ability to adapt to changes in the dynamics of a movement. The mechanisms by which the brain controls body movements are important in the fields of robotics and neurosciences. Robots are largely used to study the adaptive properties of human motor system. If rehabilitation robots are used in conjunction with techniques for functional brain imaging, in principle the motor learning can be facilitated for rehabilitation purposes. In this study, we use motor imagery technique to improve the learning rate in a robot-based adaptation task. We tried to determine whether humans can learn an internal model of a complex mixed force field (V+P) that was the sum of a velocity-dependent force field (V) and a position-dependent force field (P). The results suggest that the motor learning can be influenced by mental practice and could be used to increase the rate of adaptation.

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Source
http://dx.doi.org/10.1109/IEMBS.2009.5334859DOI Listing

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