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Effect of Grip Force and Training in Unstable Dynamics on Micromanipulation Accuracy
July-September 2011 (vol. 4 no. 3)
pp. 167-174
Eileen Lee Ming Su, Imperial College London, London and Universiti Teknologi Malaysia, Johor
Gowrishankar Ganesh, National Institute of Communication and Information Technology and ATR International, Computational Neuroscience Laboratories, Kyoto
Che Fai Yeong, Imperial College London, London and Universiti Teknologi Malaysia, Johor
Chee Leong Teo, National University of Singapore, Singapore
Wei Tech Ang, Nanyang Technological University, Singapore
Etienne Burdet, Imperial College London, London
This paper investigates whether haptic error amplification using unstable dynamics can be used to train accuracy in micromanipulation. A preliminary experiment first examines the possible confounds of visual magnification and grip force. Results show that micromanipulation precision is not affected by grip force in both naive and experienced subjects. On the other hand, precision is increased by visual magnification of up to 10 {\times}, but not further for larger magnifications. The main experiment required subjects to perform small-range point-to-point movements in 3D space in an unstable environment which amplified position errors to the straight line between start and end point. After having trained in this environment, subjects performing in the free conditions show an increase in success rate and a decrease in error and its standard deviation relative to the control subjects. This suggests that this technique can improve accuracy and reliability of movements during micromanipulation.

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Index Terms:
Micromanipulation, accuracy, unstable dynamics, learning, visual magnification, grip force.
Eileen Lee Ming Su, Gowrishankar Ganesh, Che Fai Yeong, Chee Leong Teo, Wei Tech Ang, Etienne Burdet, "Effect of Grip Force and Training in Unstable Dynamics on Micromanipulation Accuracy," IEEE Transactions on Haptics, vol. 4, no. 3, pp. 167-174, July-Sept. 2011, doi:10.1109/TOH.2011.33
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