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Supporting foot interaction of reaction time training system.

Authors :
Zang, Chenyu
Gai, Wei
Li, Haodong
Xing, Chenzhi
Wang, Wenfei
Li, Dongli
Lv, Gaorong
Yang, Chenglei
Source :
Computer Animation & Virtual Worlds; Jan2024, Vol. 35 Issue 1, p1-16, 16p
Publication Year :
2024

Abstract

Summary: Reaction time, the ability to detect, process and respond to stimuli, is one of the fundamental factors in human computer interaction, and is a key cognitive skill in clinical and healthy populations. Good reaction time allows us to respond to stimuli and situations with agility and efficiency. How to train and improve a person's reaction time has become an important research question. In this paper, we present a new training genre which combines the user‐centered personalized training objects generation with precise tracking of foot interaction.Virtual objects are created with respect to the user's features and historical training effectiveness, and are in motion. A foot tracking algorithm based on three‐Gaussian model is designed to support interaction with stepping on moving virtual objects. We present the design and implementation of the system, as well as user studies. Findings illustrate that the reaction time performances are significantly improved following of seven days of training based on foot interaction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15464261
Volume :
35
Issue :
1
Database :
Complementary Index
Journal :
Computer Animation & Virtual Worlds
Publication Type :
Academic Journal
Accession number :
175644376
Full Text :
https://doi.org/10.1002/cav.2219