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논문 기본 정보

자료유형
학술저널
저자정보
Minami Tsuchiya (Yamagata University) Seung-Il Cho (Yamagata University) Atsushi Tanaka (Yamagata University) Muneki Yasuda (Yamagata University) Tomochika Harada (Yamagata University) Michio Yokoyama (Yamagata University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.20 No.2
발행연도
2020.6
수록면
87 - 95 (9page)
DOI
10.5391/IJFIS.2020.20.2.87

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초록· 키워드

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This study investigates the invisible factors that influence the subjective satisfaction of sleep, which is a crucial factor in sleep-supporting systems. The effects of these factors were examined using a neural network (NN) model. A sensing bed system obtains the environmental and vital signs data with five-level evaluations. The relationships among over 300,000 collected data points were visualized and analyzed using the NN model. The results indicated that the temperature difference between the inside and outside of the bed affect the subjective satisfaction of sleep both during warm and cold periods. Furthermore, the NN models indicated that the respiratory frequency influences sleep satisfaction. In this study, both these factors and their effects on the subjective satisfaction of sleep were successfully investigated by utilizing the NN model.

목차

Abstract
1. Introduction
2. Related Works
3. Experiment and Analysis
4. Neural Network for Our Analysis
5. Results of the NN Model
6. Conclusion
References

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