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Study on the change of physiological signals during playing body-controlled games

Published: 29 October 2009 Publication History

Abstract

In this paper, we give an experiment to investigate the change of physiological signals during playing body-controlled games. The physiological signals, including pulse rate, skin temperature, saturation of peripheral oxygen (SpO2), and galvanic skin response (GSR), of eleven healthy participants were recorded while playing body-controlled games. Based on the results of the experiment, we propose a discriminant model to predict the fatigue state of players. Our model can identify non-fatigue with 78.90% accuracy and fatigue with 82.76% accuracy. This model can be used with biofeedback hardware to continuously predict players' fatigue state and to improve the adaptation design of body-controlled games.

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    cover image ACM Other conferences
    ACE '09: Proceedings of the International Conference on Advances in Computer Entertainment Technology
    October 2009
    456 pages
    ISBN:9781605588643
    DOI:10.1145/1690388
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 29 October 2009

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    Author Tags

    1. fatigue
    2. galvanic skin response (GSR)
    3. pulse rate
    4. saturation of peripheral oxygen (SpO2)
    5. skin temperature

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    Overall Acceptance Rate 36 of 90 submissions, 40%

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    • (2021)Affective interaction: Using emotions as a user interface in gamesMultimedia Tools and Applications10.1007/s11042-020-10006-480:4(5225-5253)Online publication date: 1-Feb-2021
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    • (2017)Affective state aware biometric recognition2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)10.1109/ICE.2017.8279940(601-610)Online publication date: Jun-2017
    • (2016)Affective Computing in GamesEntertainment Computing and Serious Games10.1007/978-3-319-46152-6_16(402-441)Online publication date: 6-Oct-2016
    • (2014)Do we react in the same manner?Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639201(501-510)Online publication date: 26-Oct-2014
    • (2012)Control vs. complexity in gamesProceedings of the 4th International Conference on Fun and Games10.1145/2367616.2367629(101-104)Online publication date: 4-Sep-2012
    • (2012)Physiological signals based fatigue prediction model for motion sensing gamesProceedings of the 9th international conference on Advances in Computer Entertainment10.1007/978-3-642-34292-9_52(533-536)Online publication date: 3-Nov-2012

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