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BioFidget Video: Biofeedback for Respiration Training Using an Augmented Fidget Spinner

Published: 20 April 2018 Publication History

Abstract

This video presents BioFidget, a biofeedback system that integrates physiological sensing and display into a smart fidget spinner for respiration training. We present a simple yet novel hardware design that transforms a fidget spinner into 1) a non-intrusive heart rate variability (HRV) sensor, 2) an electromechanical respiration sensor, and 3) an information display. The combination of these features enables users to engage in respiration training through designed tangible and embodied interactions, without requiring them to wear additional physiological sensors. The results of this empirical user study prove that the respiration training method reduces stress, and the proposed system meets the requirements of sensing validity and engagement with 32 participants in a practical setting.

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suppl.mov (vid1010.mp4)
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Cited By

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  • (2023)PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User StudiesSensors10.3390/s2319824423:19(8244)Online publication date: 4-Oct-2023
  • (2023)Design of a Respiratory Biofeedback Serious Game for Stress Management Based on HRV AnalysisHCI International 2023 Posters10.1007/978-3-031-35992-7_3(16-24)Online publication date: 9-Jul-2023

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  1. BioFidget Video: Biofeedback for Respiration Training Using an Augmented Fidget Spinner

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    cover image ACM Conferences
    CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    3155 pages
    ISBN:9781450356213
    DOI:10.1145/3170427
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 20 April 2018

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    Author Tags

    1. biofeedback
    2. fidget spinner
    3. physiological sensing
    4. respiration training
    5. stress
    6. tangible interaction

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    CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2023)PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User StudiesSensors10.3390/s2319824423:19(8244)Online publication date: 4-Oct-2023
    • (2023)Design of a Respiratory Biofeedback Serious Game for Stress Management Based on HRV AnalysisHCI International 2023 Posters10.1007/978-3-031-35992-7_3(16-24)Online publication date: 9-Jul-2023

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