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Volume: 30 | Article ID: art00003
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An Integration of Health Tracking Sensor Applications and eLearning Environments for Cloud-Based Health Promotion Campaigns
  DOI :  10.2352/ISSN.2470-1173.2018.06.MOBMU-114  Published OnlineJanuary 2018
Abstract

Rapidly evolving technologies like data analysis, smartphone and web-based applications, and the Internet of things have been increasingly used for healthy living, fitness and well-being. These technologies are being utilized by various research studies to reduce obesity. This paper demonstrates design and development of a dataflow protocol that integrates several applications. After registration of a user, activity, nutrition and other lifestyle data from participants are retrieved in a centralized cloud dedicated for health promotion. In addition, users are provided accounts in an e-Learning environment from which learning outcomes can be retrieved. Using the proposed system, health promotion campaigners have the ability to provide feedback to the participants using a dedicated messaging system. Participants authorize the system to use their activity data for the program participation. The implemented system and servicing protocol minimize personnel overhead of large-scale health promotion campaigns and are scalable to assist automated interventions, from automated data retrieval to automated messaging feedback. This paper describes end-to-end workflow of the proposed system. The case study tests are carried with Fitbit Flex2 activity trackers, Withings Scale, Verizon Android-based tablets, Moodle learning management system, and Articulate RISE for learning content development.

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Devasena Inupakutika, Girish Vaidyanathan Natarajan, Sahak Kaghyan, David Akopian, Martin Evans, Yin Zenong, Deborah Parra-Medina, "An Integration of Health Tracking Sensor Applications and eLearning Environments for Cloud-Based Health Promotion Campaignsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications,  2018,  pp 114-1 - 114-8,  https://doi.org/10.2352/ISSN.2470-1173.2018.06.MOBMU-114

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Copyright © Society for Imaging Science and Technology 2018
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Electronic Imaging
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