I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior

Supakit Dhamchatsoontree; Chaiyapat Sirisin; Monika Proncharoensukkul; Konlakorn Wongpatikaseree

doi:10.1109/INCIT.2019.8912047

I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior

Supakit Dhamchatsoontree
, Chaiyapat Sirisin
, Monika Proncharoensukkul
, Konlakorn Wongpatikaseree

Department of Computer Engineering

Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Sleeping is a naturally mechanism of body for help to repair the body. However, to monitor the sleep quality is not an easy task. In this research, we purpose sleep detection system, which can classify sleep postures and calculate Sleep Quality Index (SQI). Pressure sensing sensor, called i-Sleep sensor, with 48 embedded force sensors has been created in order to classify the sleep postures, several machine learning algorithms were adopted to classify the sleep posture. From the experiment, the successful rate of sleep posture detection is 86.7%. Finally, web application was implemented to show the real-Time data, and sleep quality index in each day.

Original language	English
Title of host publication	Proceedings of 2019 4th International Conference on Information Technology
Subtitle of host publication	Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	144-148
Number of pages	5
ISBN (Electronic)	9781728110196
DOIs	https://doi.org/10.1109/INCIT.2019.8912047
Publication status	Published - Oct 2019
Event	4th International Conference on Information Technology, InCIT 2019 - Bangkok, Thailand Duration: 24 Oct 2019 → 25 Oct 2019

Publication series

Name	Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019

Conference

Conference	4th International Conference on Information Technology, InCIT 2019
Country/Territory	Thailand
City	Bangkok
Period	24/10/19 → 25/10/19

Keywords

Pressure sensing
Sleep Quality Index
Sleep detection system
Sleep posture
i-Sleep

Access to Document

10.1109/INCIT.2019.8912047

Cite this

Dhamchatsoontree, S., Sirisin, C., Proncharoensukkul, M., & Wongpatikaseree, K. (2019). I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior. In Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019 (pp. 144-148). Article 8912047 (Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INCIT.2019.8912047

Dhamchatsoontree, Supakit ; Sirisin, Chaiyapat ; Proncharoensukkul, Monika et al. / I-Sleep : Intelligent Sleep Detection System for Analyzing Sleep Behavior. Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 144-148 (Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019).

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title = "I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior",

abstract = "Sleeping is a naturally mechanism of body for help to repair the body. However, to monitor the sleep quality is not an easy task. In this research, we purpose sleep detection system, which can classify sleep postures and calculate Sleep Quality Index (SQI). Pressure sensing sensor, called i-Sleep sensor, with 48 embedded force sensors has been created in order to classify the sleep postures, several machine learning algorithms were adopted to classify the sleep posture. From the experiment, the successful rate of sleep posture detection is 86.7\%. Finally, web application was implemented to show the real-Time data, and sleep quality index in each day.",

keywords = "Pressure sensing, Sleep Quality Index, Sleep detection system, Sleep posture, i-Sleep",

author = "Supakit Dhamchatsoontree and Chaiyapat Sirisin and Monika Proncharoensukkul and Konlakorn Wongpatikaseree",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th International Conference on Information Technology, InCIT 2019 ; Conference date: 24-10-2019 Through 25-10-2019",

year = "2019",

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doi = "10.1109/INCIT.2019.8912047",

language = "English",

series = "Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019",

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Dhamchatsoontree, S, Sirisin, C, Proncharoensukkul, M & Wongpatikaseree, K 2019, I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior. in Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019., 8912047, Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 144-148, 4th International Conference on Information Technology, InCIT 2019, Bangkok, Thailand, 24/10/19. https://doi.org/10.1109/INCIT.2019.8912047

I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior. / Dhamchatsoontree, Supakit; Sirisin, Chaiyapat; Proncharoensukkul, Monika et al.
Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 144-148 8912047 (Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - I-Sleep

T2 - 4th International Conference on Information Technology, InCIT 2019

AU - Dhamchatsoontree, Supakit

AU - Sirisin, Chaiyapat

AU - Proncharoensukkul, Monika

AU - Wongpatikaseree, Konlakorn

PY - 2019/10

Y1 - 2019/10

N2 - Sleeping is a naturally mechanism of body for help to repair the body. However, to monitor the sleep quality is not an easy task. In this research, we purpose sleep detection system, which can classify sleep postures and calculate Sleep Quality Index (SQI). Pressure sensing sensor, called i-Sleep sensor, with 48 embedded force sensors has been created in order to classify the sleep postures, several machine learning algorithms were adopted to classify the sleep posture. From the experiment, the successful rate of sleep posture detection is 86.7%. Finally, web application was implemented to show the real-Time data, and sleep quality index in each day.

AB - Sleeping is a naturally mechanism of body for help to repair the body. However, to monitor the sleep quality is not an easy task. In this research, we purpose sleep detection system, which can classify sleep postures and calculate Sleep Quality Index (SQI). Pressure sensing sensor, called i-Sleep sensor, with 48 embedded force sensors has been created in order to classify the sleep postures, several machine learning algorithms were adopted to classify the sleep posture. From the experiment, the successful rate of sleep posture detection is 86.7%. Finally, web application was implemented to show the real-Time data, and sleep quality index in each day.

KW - Pressure sensing

KW - Sleep Quality Index

KW - Sleep detection system

KW - Sleep posture

KW - i-Sleep

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DO - 10.1109/INCIT.2019.8912047

M3 - Conference contribution

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BT - Proceedings of 2019 4th International Conference on Information Technology

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Y2 - 24 October 2019 through 25 October 2019

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Dhamchatsoontree S, Sirisin C, Proncharoensukkul M, Wongpatikaseree K. I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior. In Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 144-148. 8912047. (Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019). doi: 10.1109/INCIT.2019.8912047

I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior

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