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Proceedings of the 16th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems, Volume 25

In-Bed Person Monitoring Using Thermal Infrared Sensors

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DOI: http://dx.doi.org/10.15439/2021F15

Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 121–125 ()

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Abstract. Technological solutions involving cameras can contribute to safety in home and healthcare, but they pose privacy issues. We use a low-resolution infrared thermopile array sensor, which offers more privacy, to determine if the user is on the bed. Two datasets were captured, one under constant conditions, and a second one under different variations. We test three machine learning algorithms under 10-fold cross validation, with the highest accuracy in the main dataset being 99\%. The results with variable data show a lower reliability under certain circumstances, highlighting the need of extra work to meet the challenge of variations in the environment.

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