Presentation 2005/10/10
TTC estimation of ball catching task in various acceleration environment
Yasuharu KOIKE, SungKwan HONG, Makoto SATO,
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Abstract(in English) When we catch a falling ball, we assume by habit the gravitational acceleration which prevails on earth. But can we catch a falling ball correctly, if the gravitational acceleration is different? This research examines whether different acceleration can be learned and switched for catching a falling ball task. In the experiments, we showed a virtual ball moving vertically downward on a 50 inch plasma display with four different accelerations from 5.8m/s^2 to 11.8m/s^2. The acceleration was selected randomly. The ball catching was simulated by a force-feedback system, provided by the SPIDAR. The subject was asked to catch the virtual ball at an initial hand position. The hand position and Electromyographic (EMG) activity of flexor carpi radialis were recorded. At the beginning, subjects caught the ball at the same timing as gravitational acceleration for all acceleration. The subjects came to receive the ball of any acceleration gradually as training advanced by force feedback. We found that subjects learned new environments in which the ball was falling by a different acceleration and also switched each environment by only visual information. These results suggest that humans can visually discriminate different accelerations. On one hand, when humans can estimate the acceleration precisely, this detailed information will be used to calculate the Time To Contact (TTC). On the other hand, humans can use multiple internal models for different accelerations, and they estimate the TTC by switching the internal model without estimating the quantitative acceleration.
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Keyword(in English) caching / acceleration / motor learning / timing estimation
Paper # NC2005-41
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Committee NC
Conference Date 2005/10/10(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) TTC estimation of ball catching task in various acceleration environment
Sub Title (in English)
Keyword(1) caching
Keyword(2) acceleration
Keyword(3) motor learning
Keyword(4) timing estimation
1st Author's Name Yasuharu KOIKE
1st Author's Affiliation JST CREST:Tokyo Institute of Technology P&I Laboratory()
2nd Author's Name SungKwan HONG
2nd Author's Affiliation JST CREST:Tokyo Institute of Technology P&I Laboratory
3rd Author's Name Makoto SATO
3rd Author's Affiliation Tokyo Institute of Technology P&I Laboratory
Date 2005/10/10
Paper # NC2005-41
Volume (vol) vol.105
Number (no) 341
Page pp.pp.-
#Pages 6
Date of Issue