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

Authors:

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

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

The 3rd EAI International Conference on IoT Technologies for HealthCare

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.

Bibtex

@inproceedings{Rahman4497,
author = {Hamidur Rahman and Shankar Iyer and Caroline Meusburger and Kolja Dobrovoljski and Mihaela Stoycheva and Vukan Turkulov and Shahina Begum and Mobyen Uddin Ahmed},
title = {SmartMirror: An Embedded Non-contact System for Health Monitoring at Home },
month = {October},
year = {2016},
booktitle = {The 3rd EAI International Conference on IoT Technologies for HealthCare},
url = {http://www.es.mdu.se/publications/4497-}
}