SmartMirror: An Embedded Non-contact System for Health Monitoring at Home

Hamidur Rahman; Shankar Iyer; Caroline Meusburger; Kolja Dobrovoljski; Mihaela Stoycheva; Vukan Turkulov; Shahina Begum; Mobyen Ahmed

Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers

Research Article

SmartMirror: An Embedded Non-contact System for Health Monitoring at Home

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@INPROCEEDINGS{10.1007/978-3-319-51234-1_21,
    author={Hamidur Rahman and Shankar Iyer and Caroline Meusburger and Kolja Dobrovoljski and Mihaela Stoycheva and Vukan Turkulov and Shahina Begum and Mobyen Ahmed},
    title={SmartMirror: An Embedded Non-contact System for Health Monitoring at Home},
    proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers},
    proceedings_a={HEALTHYIOT},
    year={2017},
    month={1},
    keywords={Physiological parameters Photo plethysmography Heart rate Respiration rate Inter-beat-interval Blood pressure and drowsiness},
    doi={10.1007/978-3-319-51234-1_21}
}

Hamidur Rahman
Shankar Iyer
Caroline Meusburger
Kolja Dobrovoljski
Mihaela Stoycheva
Vukan Turkulov
Shahina Begum
Mobyen Ahmed
Year: 2017
SmartMirror: An Embedded Non-contact System for Health Monitoring at Home
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-51234-1_21

Hamidur Rahman¹^,*, Shankar Iyer¹^,*, Caroline Meusburger¹^,*, Kolja Dobrovoljski¹^,*, Mihaela Stoycheva¹^,*, Vukan Turkulov¹^,*, Shahina Begum¹^,*, Mobyen Ahmed¹^,*

1: Mälardalen University

*Contact email: hamidur.rahman@mdh.se, shankar.iyer@mdh.se, caroline.meusburger@mdh.se, kolja.dobrovoljski@mdh.se, mihaela.stoycheva@mdh.se, vukan.turkulov@mdh.se, shahina.begum@mdh.se, mobyen.ahmed@mdh.se

Abstract

The ‘Smart Mirror’ project introduces non-contact based technological innovations at our homes where its usage can be as ubiquitous as ‘looking at a mirror’ while providing critical actionable insights thereby leading to improved care and outcomes. The key objectives is to detect key physiological markers like Heart Rate (HR), Respiration Rate (RR), Inter-beat-interval (IBI) and Blood Pressure (BP) and also drowsiness using the video input of the individual standing in front of the mirror and display the results in real-time. A satisfactory level of accuracy has been attained with respect to the reference sensors signal.

Keywords: Physiological parameters Photo plethysmography Heart rate Respiration rate Inter-beat-interval Blood pressure and drowsiness

Published: 2017-01-20
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-51234-1_21