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      Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      MEMS, unobtrusive, Radar, Thermal, Sensing, Post-stroke

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            Abstract

            This paper proposes the fusion of low-cost unobtrusive heterogeneous sensors (MEMS thermal and radar sensors) to monitor the rehabilitation activities of post-stroke sufferers within home-based settings. Results of the proposed approach are planned to be compared with a standard EMG sensor to ascertain the authenticity, validity and repeatability of the newly introduced sensing solution.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-3
            Affiliations
            [0001]Ulster University

            School of Computing
            [0002]Ulster University

            NIBEC
            Article
            10.14236/ewic/HCI2018.300
            0d5611c9-6d65-4ad9-89cd-c2e049c2b683
            © Ekerete et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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