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In-Bed Person Monitoring Using Thermal Infrared Sensors

Josse Elias, Nerborg Amanda, Hernandez Diaz Kevin, Alonso-Fernandez Fernando

Annals of Computer Science and Information Systems

2021

Vol. 25

121--125

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.