SleepMore: Inferring sleep duration at scale via multi-device WiFi sensing

• Main Authors: ZAKARIA, Camellia, YILMAZ, Gizem, MAMMEN, Priyanka, CHEE, Michael, SHENOY, Prashant, BALAN, Rajesh Krishna
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Electrical Engineering and Systems Science; Signal Processing; Computer Science - Machine Learning; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7746; https://ink.library.smu.edu.sg/context/sis_research/article/8749/viewcontent/sleepMore.pdf
• Institution: Singapore Management University

The availability of commercial wearable trackers equipped with features to monitor sleep duration and quality has enabled more useful sleep health monitoring applications and analyses. However, much research has reported the challenge of long-term user retention in sleep monitoring through these mod...