A Study on the Sleep Monitoring System with Multi-Modal Sensors 


Vol. 45,  No. 7, pp. 1255-1262, Jul.  2020
10.7840/kics.2020.45.7.1255


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  Abstract

The quality of sleep plays an important role in modern life. Analysis of sleep cycles and sleep stages is essential in the sleep monitoring system. This paper describes the sleep monitoring system using raspberry pi4 and multi-modal sensors. This system collects biometric data such as Heart Rate(HR), Respiration Rate(RR), Electrodermal Activity(EDA), and acceleration data. It also gathers the environmental data such as temperature, humidity, and illumination intensity and then consolidate all the data to classify them into three sleep stages: NREM, REM, and WAKE. As the subject can sleep in the same environment as usual, not in the sleep laboratory, it is less likely to get the unusual sleep pattern. This system, using the non-contact UWB sensor and two finger bands, does not interfere with sleep as well, so the system could get more useful results.

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  Cite this article

[IEEE Style]

H. Choi, I. Yun, H. Oh, "A Study on the Sleep Monitoring System with Multi-Modal Sensors," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1255-1262, 2020. DOI: 10.7840/kics.2020.45.7.1255.

[ACM Style]

Hae-Min Choi, I-Jin Yun, and Hyun-Woo Oh. 2020. A Study on the Sleep Monitoring System with Multi-Modal Sensors. The Journal of Korean Institute of Communications and Information Sciences, 45, 7, (2020), 1255-1262. DOI: 10.7840/kics.2020.45.7.1255.

[KICS Style]

Hae-Min Choi, I-Jin Yun, Hyun-Woo Oh, "A Study on the Sleep Monitoring System with Multi-Modal Sensors," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1255-1262, 7. 2020. (https://doi.org/10.7840/kics.2020.45.7.1255)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880