DocumentCode :
416559
Title :
Investigation of prediction model for ball catching task using VR technology
Author :
SungKwan Hong ; Kim, JaeHyo ; Sato, Makoto ; Koike, Yasuharu
Author_Institution :
Tokyo Inst. of Technol., Yokohama, Japan
Volume :
1
fYear :
2003
fDate :
4-6 Aug. 2003
Firstpage :
596
Abstract :
The aim of this paper is to investigate if human is using prediction model based on gravitational acceleration for ball catching. We investigate the effect when the inexperienced acceleration of gravity, at 9.8 m/s/sup 2/, is applied. Virtual reality technologies are use in the environment where various accelerations exist. From the experimental results, we confirm that human is using prediction model for ball catching task. And TTC (time-to-contact) error has occurred in inexperienced acceleration, and we also confirmed that this TTC error influences the ability of task performance.
Keywords :
acceleration; biomechanics; gravity; virtual reality; ball catching task; gravitational acceleration; prediction model; time-to-contact error; virtual reality technologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
Type :
conf
Filename :
1323436
Link To Document :
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