Supporting foot interaction of reaction time training system
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 efficien...
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Published in | Computer animation and virtual worlds Vol. 35; no. 1 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Chichester
Wiley Subscription Services, Inc
01.01.2024
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Online Access | Get full text |
ISSN | 1546-4261 1546-427X |
DOI | 10.1002/cav.2219 |
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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.
A user‐adaptive foot interaction‐based reaction‐time training system. Training with fusion movements can improve human reactions. |
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AbstractList | 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. 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. |
Author | Gai, Wei Wang, Wenfei Li, Dongli Zang, Chenyu Xing, Chenzhi Li, Haodong Lv, Gaorong Yang, Chenglei |
Author_xml | – sequence: 1 givenname: Chenyu orcidid: 0009-0008-5803-1455 surname: Zang fullname: Zang, Chenyu organization: Shandong University – sequence: 2 givenname: Wei surname: Gai fullname: Gai, Wei email: gw@sdu.edu.cn organization: Shandong University – sequence: 3 givenname: Haodong surname: Li fullname: Li, Haodong organization: Shandong University – sequence: 4 givenname: Chenzhi surname: Xing fullname: Xing, Chenzhi organization: Shandong University – sequence: 5 givenname: Wenfei surname: Wang fullname: Wang, Wenfei organization: Shandong University – sequence: 6 givenname: Dongli surname: Li fullname: Li, Dongli organization: Huaiyin District Education and Sports Bureau – sequence: 7 givenname: Gaorong surname: Lv fullname: Lv, Gaorong email: 15953173765@163.com organization: Shandong University – sequence: 8 givenname: Chenglei surname: Yang fullname: Yang, Chenglei organization: Shandong University |
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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... 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... |
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SubjectTerms | Algorithms Cognition & reasoning foot interaction human computer interaction interactive playground Reaction time reaction time training Stimuli Tracking Training |
Title | Supporting foot interaction of reaction time training system |
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