Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

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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.
Original languageEnglish
Title of host publicationProceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)
PublisherBCS Learning & Development Ltd
DOIs
Publication statusPublished - Jul 2018
Event32nd International BCS Human Computer Interaction Conference (HCI) - Belfast, United Kingdom
Duration: 4 Jul 20186 Jul 2018
http://Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Conference

Conference32nd International BCS Human Computer Interaction Conference (HCI)
CountryUnited Kingdom
CityBelfast
Period4/07/186/07/18
Internet address

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  • Cite this

    Ekerete, I., Nugent, C., & McLaughlin, J. (2018). Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. In Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018) [http://dx.doi.org/10.14236/ewic/HCI2018.300] BCS Learning & Development Ltd. https://doi.org/10.14236/ewic/HCI2018.300