Long Distance Vital Signs Monitoring with Person Identification for Smart Home Solutions

Maciej Szankin; Alicja Kwaśniewska; Jacek Rumiński; Mingshan Wang; Tejaswini Sirlapu; Rey Nicolas; Marko Bartscherer

doi:10.1109/embc.2018.8512509

Long Distance Vital Signs Monitoring with Person Identification for Smart Home Solutions

Abstract

Abstract— Imaging photoplethysmography has already been proved to be successful in short distance (below 1m). However, most of the real-life use cases of measuring vital signs require the system to work at longer distances, to be both more reliable and convenient for the user. The possible scenarios that system designers must have in mind include monitoring of the vital signs of residents in nursing homes, disabled people, who can’t move, constant support for people regardless of the performed activity (e.g. during sleeping), infants, etc. In this work we verified the possibility of remote pulse estimation at a distance above 5m. Additionally, we integrated the deep learning algorithm for person tracking and identification, even when facial features are not visible. In this way, we enabled the collection of user specific measurements to create personalized vital signs patterns and we provided the support for monitoring of multiple people using one video stream. The preliminary results showed that it is possible to accurately (RMSE < 2.8 beats per minute) extract pulse from visible light sequences acquired with a webcam at a distance of 6m after applying a proper image pre-processing algorithm.

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Publication version: Accepted or Published Version
License: Copyright (2018, IEEE)

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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: 40th International Engineering in Medicine and Biology Conference strony 1 - 4
Language:: English
Publication year:: 2018
Bibliographic description:: Szankin M., Kwaśniewska A., Rumiński J., Wang M., Sirlapu T., Nicolas R., Bartscherer M.: Long Distance Vital Signs Monitoring with Person Identification for Smart Home Solutions// 40th International Engineering in Medicine and Biology Conference/ : , 2018, s.1-4
DOI:: Digital Object Identifier (open in new tab) 10.1109/embc.2018.8512509
Verified by:: Gdańsk University of Technology