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Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications

Authors:

George Boateng,

Vivian Genaro Motti,

John A. Batsis,

David KotzAuthors Info & Claims

MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking

Article No.: 31, Pages 1 - 14

https://doi.org/10.1145/3300061.3345432

Published: 11 October 2019 Publication History

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Abstract

Wrist-worn devices hold great potential as a platform for mobile health (mHealth) applications because they comprise a familiar, convenient form factor and can embed sensors in proximity to the human body. Despite this potential, however, they are severely limited in battery life, storage, bandwidth, computing power, and screen size. In this paper, we describe the experience of the research and development team designing, implementing and evaluating Amulet? an open-hardware, open-software wrist-worn computing device? and its experience using Amulet to deploy mHealth apps in the field. In the past five years the team conducted 11 studies in the lab and in the field, involving 204 participants and collecting over 77,780 hours of sensor data. We describe the technical issues the team encountered and the lessons they learned, and conclude with a set of recommendations. We anticipate the experience described herein will be useful for the development of other research-oriented computing platforms. It should also be useful for researchers interested in developing and deploying mHealth applications, whether with the Amulet system or with other wearable platforms.

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Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications

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cover image ACM Conferences

MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking

August 2019

1017 pages

ISBN:9781450361699

DOI:10.1145/3300061

General Chairs:
Sharad Agarwal
Microsoft
,
Ben Greenstein
Google
,
Aruna Balasubramanian
Stony Brook University
,
Program Chairs:
Shyam Gollakota
University of Washington
,
Xinyu Zhang
University of California, San Diego

Copyright © 2019 ACM.

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Published: 11 October 2019

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National Science Foundation
Dartmouth Clinical and Translational Science Institute
Dartmouth Health Promotion and Disease Prevention Research Center
National Center for Advancing Translational Sciences
U.S. Department of Health and Human Services
National Institute on Aging

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MobiCom '19

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SIGMOBILE

MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking

October 21 - 25, 2019

Los Cabos, Mexico

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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

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https://doi.org/10.3390/technologies11060163
Rahman MSaifullah A(2023)Transparent and Tamper-Proof Event Ordering in the Internet of Things PlatformsIEEE Internet of Things Journal10.1109/JIOT.2022.322245010:6(5335-5348)Online publication date: 15-Mar-2023
https://doi.org/10.1109/JIOT.2022.3222450
Keryakos YIssa YSalomon MMakhoul A(2023)Correlation Between Types of Obstacles and Stress Level of Blind People in Outdoor Navigation2023 International Wireless Communications and Mobile Computing (IWCMC)10.1109/IWCMC58020.2023.10183030(458-463)Online publication date: 19-Jun-2023
https://doi.org/10.1109/IWCMC58020.2023.10183030
B. Wong AChen DChen XWu K(2022)Monitoring Neuromuscular Activity during Exercise: A New Approach to Assessing Attentional Focus Based on a Multitasking and Multiclassification Network and an EMG Fitness ShirtBiosensors10.3390/bios1301006113:1(61)Online publication date: 30-Dec-2022
https://doi.org/10.3390/bios13010061
Kim JOh DLee KHong S(2022)Fall detection based on interpretation of important features with wrist-wearable sensorsProceedings of the 28th Annual International Conference on Mobile Computing And Networking10.1145/3495243.3558250(823-825)Online publication date: 14-Oct-2022
https://dl.acm.org/doi/10.1145/3495243.3558250
Zhou PDing YLi YLi MShen GHe T(2022)ExperienceProceedings of the 28th Annual International Conference on Mobile Computing And Networking10.1145/3495243.3517023(94-105)Online publication date: 14-Oct-2022
https://dl.acm.org/doi/10.1145/3495243.3517023
Sen TShen H(2022)Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS54860.2022.00062(581-591)Online publication date: Jul-2022
https://doi.org/10.1109/ICDCS54860.2022.00062
Lee RJames CEdwards SSkinner GYoung JSnodgrass S(2021)Evidence for the Effectiveness of Feedback from Wearable Inertial Sensors during Work-Related Activities: A Scoping ReviewSensors10.3390/s2119637721:19(6377)Online publication date: 24-Sep-2021
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Boateng GPetersen CKotz DFortuna KMasutani RBatsis J(2021)Smartwatch Step-Counting App for Older Adults: Development and Evaluation Study (Preprint)JMIR Aging10.2196/33845Online publication date: 26-Sep-2021
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Guo XHe YZhang JJiang HYu ZNa X(2021)Taming the Errors in Cross-Technology Communication: A Probabilistic ApproachACM Transactions on Sensor Networks10.1145/346903118:1(1-20)Online publication date: 22-Oct-2021
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