Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

Idongesit Ekerete; Chris Nugent; James McLaughlin

doi:10.14236/ewic/HCI2018.300

Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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 language	English
Title of host publication	Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)
Publisher	BCS Learning & Development Ltd
DOIs	https://doi.org/10.14236/ewic/HCI2018.300
Publication status	Published (in print/issue) - Jul 2018
Event	32nd International BCS Human Computer Interaction Conference (HCI) - Belfast, United Kingdom Duration: 4 Jul 2018 → 6 Jul 2018 http://Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

Conference

Conference	32nd International BCS Human Computer Interaction Conference (HCI)
Country/Territory	United Kingdom
City	Belfast
Period	4/07/18 → 6/07/18
Internet address	http://Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.14236/ewic/HCI2018.300

ewic_hci18_wip_paper85Final published version, 303 KB

Cite this

@inproceedings{3e6552d9a83b4c9fbe2c122bfc0ac54b,

title = "Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation",

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.",

author = "Idongesit Ekerete and Chris Nugent and James McLaughlin",

year = "2018",

month = jul,

doi = "10.14236/ewic/HCI2018.300",

language = "English",

booktitle = "Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)",

publisher = "BCS Learning \& Development Ltd",

note = "32nd International BCS Human Computer Interaction Conference (HCI) ; Conference date: 04-07-2018 Through 06-07-2018",

url = "http://Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)",

}

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, 32nd International BCS Human Computer Interaction Conference (HCI), Belfast, United Kingdom, 4/07/18. https://doi.org/10.14236/ewic/HCI2018.300

Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation. / Ekerete, Idongesit ; Nugent, Chris ; McLaughlin, James.
Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018). BCS Learning & Development Ltd, 2018. http://dx.doi.org/10.14236/ewic/HCI2018.300.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

AU - Ekerete, Idongesit

AU - Nugent, Chris

AU - McLaughlin, James

PY - 2018/7

Y1 - 2018/7

N2 - 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.

AB - 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.

UR - https://dl.acm.org/citation.cfm?id=3301021

U2 - 10.14236/ewic/HCI2018.300

DO - 10.14236/ewic/HCI2018.300

M3 - Conference contribution

BT - Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

PB - BCS Learning & Development Ltd

T2 - 32nd International BCS Human Computer Interaction Conference (HCI)

Y2 - 4 July 2018 through 6 July 2018

ER -

Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

Abstract

Conference

UN SDGs

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Unobtrusive sensing solutions for home-based monitoring

Cite this

Unobtrusive Sensing for Home-Based Post-Stroke Rehabilitation

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Student theses

Unobtrusive sensing solutions for home-based monitoring

Cite this