2018
DOI: 10.14236/ewic/hci2018.300
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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.

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Cited by 1 publication
(2 citation statements)
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“…While wearable devices can help monitor these activities they do, however, suffer from a range of problems relating to battery life, wearability, and adoption. Furthermore, rehabilitation centers pose a range of logistical complexities such as transportation constraints [5]. These challenges, amongst others, make home based unobtrusive sensing solutions, which offer benefits such as convenience and a feeling of relaxation and self-empowerment attractive offerings [6].…”
Section: A Post-stroke Rehabilitation Techniquesmentioning
confidence: 99%
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“…While wearable devices can help monitor these activities they do, however, suffer from a range of problems relating to battery life, wearability, and adoption. Furthermore, rehabilitation centers pose a range of logistical complexities such as transportation constraints [5]. These challenges, amongst others, make home based unobtrusive sensing solutions, which offer benefits such as convenience and a feeling of relaxation and self-empowerment attractive offerings [6].…”
Section: A Post-stroke Rehabilitation Techniquesmentioning
confidence: 99%
“…Unobtrusive sensing also offers the advantage of non-disruptive monitoring without the user having to wear or charge a device which may sometimes slip-off, be forgotten or become uncomfortable [5] [7]. It enables the user to perform activities of daily living (ADLs) without cuffs, belts and adhesives as could be the case with wearables.…”
Section: A Post-stroke Rehabilitation Techniquesmentioning
confidence: 99%