An innovative breathing game applied with textile sensors

Chang Ming Yang*, Ching Wen Yang, Shu Hui Hung, Chin Hsian Wang, Hsin Hung Lin, Wai-Chi Fang, Wei Chin Huang, Yueh Ming Huang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    Recently there has been much interest in and speculation about whether games could be used to improve health, learning and behaviour but there is little empirical evidence that games work. Physiological signals open new channels for communication between the player and the game. In this paper, we use a 4-stage breath belt to detect both breath rate and amplitude; socks with dome-shaped sensors can detect gait. The sensors are all digital textile sensors. Sensing breath and gait signals from the player, without discomfort, makes this process continuous and easy to use in real-time. Another advantage is that the 4-stage breath belt and socks can also perform breath therapy and gait analysis. So, we develop this system which can not only extract breath signals and gait parameters but also express images which are directly provided to the user for health analysis during games. We designed a respiratory and gait-computer interface for games.

    Original languageEnglish
    Title of host publication2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010
    DOIs
    StatePublished - 1 Dec 2010
    Event2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010 - Hong Kong, China
    Duration: 21 Dec 201023 Dec 2010

    Publication series

    Name2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010

    Conference

    Conference2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010
    Country/TerritoryChina
    CityHong Kong
    Period21/12/1023/12/10

    Keywords

    • 4-Stage breath belt
    • Digital textile sensor
    • Respiratory and gait-computer interface

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