Handling Missing Data For Sleep Monitoring Systems

• Published in: International Conference on Affective Computing and Intelligent Interaction and workshops pp. 1 - 8
• Main Authors: Gashi, Shkurta, Alecci, Lidia, Gjoreski, Martin, Di Lascio, Elena, Mehrotra, Abhinav, Musolesi, Mirco, Debus, Maike E., Gasparini, Francesca, Santini, Silvia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.10.2022
• Subjects: Behavioral sciences; Biomedical monitoring; Data models; Data visualization; Degradation; Machine Learning; Missing Data; Robustness; Sleep and Wake Recognition; Wearable computers; Wearable Sensors

Sensor-based sleep monitoring systems can be used to track sleep behavior on a daily basis and provide feedback to their users to promote health and well-being. Such systems can provide data visualizations to enable self-reflection on sleep habits or a sleep coaching service to improve sleep quality...