Presentation 2014-11-22
Mechanism of acceleration learning in ball catching
Naoto HAMA, Hiroyuki KAMBARA, Natsue YOSHIMURA, Duk SHIN, Yasuharu KOIKE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper aims to reveal the mechanism how our brain adapts acceleration through sensory information when catching a falling ball. It is considered that human can modify estimated timing according to gaps between their expected and actual hand movements. To verify this hypothesis, we conducted ball-catching experiments in a virtual reality environment, which allowed participants to recognize the ball contact to the hand by visual information only. Our results indicated that three out of four participants could learn another acceleration other than the gravitational acceleration by visual information.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) motor control / motor learning / internal model / virtual reality
Paper # NC2014-42
Date of Issue

Conference Information
Committee NC
Conference Date 2014/11/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mechanism of acceleration learning in ball catching
Sub Title (in English)
Keyword(1) motor control
Keyword(2) motor learning
Keyword(3) internal model
Keyword(4) virtual reality
1st Author's Name Naoto HAMA
1st Author's Affiliation Tokyo Institute of Technology:CREST()
2nd Author's Name Hiroyuki KAMBARA
2nd Author's Affiliation Tokyo Institute of Technology:CREST
3rd Author's Name Natsue YOSHIMURA
3rd Author's Affiliation Tokyo Institute of Technology:CREST
4th Author's Name Duk SHIN
4th Author's Affiliation Tokyo Institute of Technology:CREST
5th Author's Name Yasuharu KOIKE
5th Author's Affiliation Tokyo Institute of Technology:CREST
Date 2014-11-22
Paper # NC2014-42
Volume (vol) vol.114
Number (no) 326
Page pp.pp.-
#Pages 6
Date of Issue