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DIY Health IoT Apps

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Published:04 November 2018Publication History

ABSTRACT

We demonstrate how lay users may program their own smart spaces to create IoT apps with a few clicks on their smartphone. We present our Atlas Thing Architecture and the Runtime Interactive Development Environment (RIDE) which allow users to program custom apps based on the logical and functional relationships that tie IoT things available in their smart spaces. We also demo a Health IoT scenario using personal medical devices and mobile apps as things and show how mobile users can develop, install and use IoT apps utilizing these things using RIDE.

References

  1. J. King, R. Bose, H. Yang, S. Pickles and A. Helal, "Atlas -- A Service-Oriented Sensor Platform." Proc. of first IEEE SenseApp Workshop. Tampa, Florida, 2006.Google ScholarGoogle Scholar
  2. A. E. Khaled, S. Helal, W. Lindquist and C. Lee "IoT-DDL -- Device Description Language for the "T" in IoT", IEEE Access, Vol 6, Issue 1, PP (24048--24063), December 2018.Google ScholarGoogle ScholarCross RefCross Ref
  3. L. Atzori, et al "The social internet of things (siot)-when social networks meet the internet of things: Concept, architecture and network characterization. " Computer networks 56, no. 16 (2012) Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. E. Khaled and Sumi Helal, "A Framework for Inter-Thing Relationships for Programming the Social IoT", IEEE 4th World Forum on Internet of Things, Singapore, February 2018.Google ScholarGoogle Scholar
  5. S. Helal, A. Khaled, V. Gutta, "Atlas Thing Architecture -- Enabling Mobile Apps as Things in the IoT" Demo in the 23rd ACM (Mobicom17), October, 2017, Snowbird, Utah, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. DIY Health IoT Apps

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      • Published in

        cover image ACM Conferences
        SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
        November 2018
        449 pages
        ISBN:9781450359528
        DOI:10.1145/3274783

        Copyright © 2018 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 November 2018

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        • short-paper
        • Research
        • Refereed limited

        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

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