BioFidget: biofeedback for respiration training using an augmented fidget spinner

Rong Hao Liang, Bin Yu, Mengru Xue, Jun Hu, Loe M.G. Feijs

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

34 Citations (Scopus)
12 Downloads (Pure)

Abstract

This paper 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 nonintrusive 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.

Original languageEnglish
Title of host publicationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication(CHI '18)
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery, Inc
Number of pages12
ISBN (Print)9781450356206
DOIs
Publication statusPublished - 20 Apr 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada, Montreal, Canada
Duration: 21 Apr 201826 Apr 2018
Conference number: 36
http://chi2018.acm.org

Conference

Conference2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Abbreviated titleCHI 2018
Country/TerritoryCanada
CityMontreal
Period21/04/1826/04/18
Internet address

Keywords

  • Biofeedback
  • Fidget spinner
  • Physiological sensing
  • Respiration training
  • Stress
  • Tangible interaction

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