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http://dx.doi.org/10.9717/kmms.2021.24.8.1149

Customized Eyelid Warming Control Technique Using EEG Data in a Warming Mask for Sleep Induction  

Han, Hyegyeong (Dept. of IT Convergence Engineering, Graduate School, Gachon University)
Lee, Byung Mun (Dept. of Computer Engineering, College of IT Convertgence, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.8, 2021 , pp. 1149-1160 More about this Journal
Abstract
Lack of sleep time increases risks of fatigue, hypomnesis, decreased emotional stability, indigestion, and dementia. The risks can be reduced by providing eyelid-warming, inducing sleep and improving sleep quality. However, effective warming temperature to an person varies depending on physical condition and the individual. The various types of frequencies can be identified in brain wave from a person and amount of frequencies is also changed continuously before and after sleep. Therefore we can identify the user's sleep stage with brain wave, namely EEG. Effective sleep induction is possible if warming temperature to a person is controlled based on EEG. In this paper, we propose customized warming control techniques based on EEG for a efficient and effective sleep induction. As an experiment, sleep induction effects of standard sleep mask and customized temperature control techniques sleep mask are compared. EEG data and warming temperature were measured in 100 experiments. At customized warming control techniques, experiments showed that the ratio of alpha and theta waves increased by 3.21%p and the time to sleep decreased by 85 seconds. It will contribute to effective sleep induction and performance verification methods in customized sleep mask systems.
Keywords
Eyelid Warming; Sleep Induction; EEG Analysis; Sleep Stage; Customized Sleep Care;
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