Wearable Inertial Sensors for Exergames and Rehabilitation

Satish Reddy Bethi, Ashwin Rajkumar, Fabio Vulpi, Preeti Raghavan, Vikram Kapila

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the design and development of an exergame for the wearable inertial sensor (WIS) system for performing range of motion (ROM) exercises. The salient features of the exergame include: (i) a sensor calibration user-interface (UI); (ii) a sensor mounting UI, (iii) a patient gaming UI; (iv) an instructor playback UI; and (v) an instructor exercise development UI. Along with the WIS system, the developed exergame UIs enable a user to perform ROM exercises in clinical and home-based environments. The exergame UIs can also be employed in a telerehabilitation setting for remote monitoring and assessment. Preliminary results on the efficacy of using the exergame environment is documented with: (i) sensor calibration time; (ii) sensor mounting and alignment time on the human body; and (iii) examination of user adherence to instructor programmed exercise routines.

Original languageEnglish (US)
Title of host publication42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEnabling Innovative Technologies for Global Healthcare, EMBC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4579-4582
Number of pages4
ISBN (Electronic)9781728119908
DOIs
StatePublished - Jul 2020
Event42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
Duration: Jul 20 2020Jul 24 2020

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2020-July
ISSN (Print)1557-170X

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
CountryCanada
CityMontreal
Period7/20/207/24/20

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Bethi, S. R., Rajkumar, A., Vulpi, F., Raghavan, P., & Kapila, V. (2020). Wearable Inertial Sensors for Exergames and Rehabilitation. In 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020 (pp. 4579-4582). [9175428] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2020-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC44109.2020.9175428