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

doi:10.1145/3389189.3397984

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 proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings
Publisher	Association for Computing Machinery
Pages	362-369
Number of pages	8
ISBN (Electronic)	9781450377737
DOIs	https://doi.org/10.1145/3389189.3397984
State	Published - Jun 30 2020
Event	13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Virtual, Online, Greece Duration: Jun 30 2020 → Jul 3 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020
Country/Territory	Greece
City	Virtual, Online
Period	6/30/20 → 7/3/20

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

Access to Document

10.1145/3389189.3397984

Cite this

Turki, A., Ding, K., Zhang, R., Li, M., Bell, K., & Behbehani, K. (2020). A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients. In 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings (pp. 362-369). Article 3397984 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3389189.3397984

A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients. / Turki, Ahmad; Ding, Kan ; Zhang, Rong et al.
13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings. Association for Computing Machinery, 2020. p. 362-369 3397984 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Turki, A, Ding, K , Zhang, R, Li, M, Bell, K & Behbehani, K 2020, A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients. in 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings., 3397984, ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 362-369, 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020, Virtual, Online, Greece, 6/30/20. https://doi.org/10.1145/3389189.3397984

Turki A, Ding K , Zhang R, Li M, Bell K, Behbehani K. A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients. In 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings. Association for Computing Machinery. 2020. p. 362-369. 3397984. (ACM International Conference Proceeding Series). doi: 10.1145/3389189.3397984

Turki, Ahmad ; Ding, Kan ; Zhang, Rong et al. / A wearable fitness tracking ecosystem for exercise therapy for traumatic brain injury patients. 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020 - Conference Proceedings. Association for Computing Machinery, 2020. pp. 362-369 (ACM International Conference Proceeding Series).

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

Abstract

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Keywords

ASJC Scopus subject areas

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