Presentation 2007-03-15
Reproduction of Human Arm's Two-Point Reaching Movement Characteristics Using Modified Minimum-Torque-Change Model
Mai HONDA, Toshikazu MATSUI,
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Abstract(in English) So far, it has been shown that the minimum-torque-change model with fixed boundary conditions is effective in reproducing characteristics for human reaching movements. However, the conventional model had no ability to reproduce the variability of end points of the hand trajectories in human reaching movements. This report focuses on formulating a new human arm control model with free boundary conditions, a modified minimum-torque-change model, to overcome the defect of the conventional model and examining the proposed model 1 s fundamental performance. As a result, it was clarified that the modified model can reproduce the end-point variability of the hand trajectories by changing its weight parameters and the relationship (Fitts' law) between the end-point variability and the movement time. This suggests that the modified model is more effective as a model of the human arm control system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Modified minimum-torque-change criterion / Optimum trajectory / Reaching movement / Variability / Fitts' law
Paper # NC2006-156
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Committee NC
Conference Date 2007/3/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reproduction of Human Arm's Two-Point Reaching Movement Characteristics Using Modified Minimum-Torque-Change Model
Sub Title (in English)
Keyword(1) Modified minimum-torque-change criterion
Keyword(2) Optimum trajectory
Keyword(3) Reaching movement
Keyword(4) Variability
Keyword(5) Fitts' law
1st Author's Name Mai HONDA
1st Author's Affiliation Faculty Graduate School of Engineering, Gunma University()
2nd Author's Name Toshikazu MATSUI
2nd Author's Affiliation Faculty Graduate School of Engineering, Gunma University
Date 2007-03-15
Paper # NC2006-156
Volume (vol) vol.106
Number (no) 589
Page pp.pp.-
#Pages 6
Date of Issue