Bed-Exiting Behavior Detection in Sheeting IoT System with Printed Electrode

In this study, we propose a novel Internet of Things (IoT) system with a printed sheet electrode and evaluate its detection ability for bed-exiting behavior. The sheet electrode placed under the bed sheet detects the body proximity of the shoulder and lower back independently through the worn clothes and bed sheet based on capacitive coupling. A detection algorithm implemented in a single-board computer was tested in a bed-exiting experiment with five males wearing restraints to simulate the motions of the elderly. Compared with a commercially available mat sensor, the mean detection time of the proposed system was significantly shorter <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{p} &lt; 0.05)$</tex> for each subj ect and 3.5 s earlier on average. In addition, there were no false detections among 95 postural changes and 50 bed-exiting behaviors in the experiment.