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http://dx.doi.org/10.9717/kmms.2022.25.8.1109

Analysis on the Sleep Patterns and Design of System for Customized Deep Sleep Service in Motion Bed Environments  

Kang, Hyeon Jun (Department of Software Engineering, Dankook University)
Lee, Seok Cheol (Department of Software Engineering, Dankook University)
Jeong, Jun Seo (Department of Software Engineering, Dankook University)
Cho, Sung Beom (Department of Software Engineering, Dankook University)
Lee, Won Jin (Research Institute of Information and Culture Technology, Dankook University)
Lee, Jae Dong (Department of Software Engineering, Dankook University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.8, 2022 , pp. 1109-1121 More about this Journal
Abstract
As the demand for quality sleep increases in modern society, the importance of sleep technology has increased. Recently, development of sleep environment improvement products and research on the user's sleep improvement have been activated. Representatively, user sleep pattern analysis research is being conducted through the existing polysomnography, but it is difficult to use it in the sleep environment of daily life. Therefore, in this paper, we propose a system design that can provide a customized deep sleep service to users by detecting sleep disturbance factors in a motion bed environment. In order to improve the user's sleep satisfaction, a logistic regression-based sleep pattern analysis model is proposed and accuracy and significance are verified through experiments. And to improve user's sleep satisfaction, we propose a logistic regression-based sleep pattern analysis model and verify accuracy and significance through experiments. The proposed system is expected to improve the user's sleep quality and effectively prevent and manage sleep disorders.
Keywords
Customized Service; Deep Sleep; Motion Bed; Sleep Pattern; Recommendation;
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Times Cited By KSCI : 3  (Citation Analysis)
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