A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients

Ahmad Turki, Kan Ding, Rong Zhang, Ming Li, Kathleen Bell, Khosrow Behbehani

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

Abstract

Previous research has shown that exercise can be an effective means of treating patients with mild traumatic brain injury. However, compliance with prescribed exercise regimen has been low. Design of an ecosystem for utilizing a wrist worn fitness tracking watch is described which is aimed at increasing patient compliance with the prescribed exercise. The hardware and software structure of the ecosystem are described, and examples of the system function are presented.

Original languageEnglish (US)
Title of host publication13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings
PublisherAssociation for Computing Machinery
Pages362-369
Number of pages8
ISBN (Electronic)9781450377737
DOIs
StatePublished - Jun 30 2020
Event13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Virtual, Online, Greece
Duration: Jun 30 2020Jul 3 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020
Country/TerritoryGreece
CityVirtual, Online
Period6/30/207/3/20

Keywords

  • exercise therapy
  • fitness tracking ecosystem
  • traumatic brain injury
  • wearable fitness tracking
  • wearable health monitor

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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