Supporting foot interaction of reaction time training system

• Published in: Computer animation and virtual worlds Vol. 35; no. 1
• Main Authors: Zang, Chenyu, Gai, Wei, Li, Haodong, Xing, Chenzhi, Wang, Wenfei, Li, Dongli, Lv, Gaorong, Yang, Chenglei
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01.01.2024
• Subjects: Algorithms; Cognition & reasoning; foot interaction; human computer interaction; interactive playground; Reaction time; reaction time training; Stimuli; Tracking; Training
• ISSN: 1546-4261; 1546-427X
• DOI: 10.1002/cav.2219

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. A user‐adaptive foot interaction‐based reaction‐time training system. Training with fusion movements can improve human reactions.