Machine Learning Based Sleep-Status Discrimination Using a Motion Sensing Mattress

Chiapin Wang, Tsung Yi Fan Chiang, Shih Hau Fang, Chieh Ju Li, Yeh Liang Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a novel sleep-status discrimination system by adopting a motion sensing mattress which detects the user's activities on bed including the movement of head, chest, legs and feet. Unlike traditional methods like Polysomnography (PSG) which needs electrical equipment connected to users, or like wrist actigraphy which needs to be contact to users, the proposed system distinguishes sleep states in a non-conscious and non-contact way. The proposed system is built by a machine learning technique in the offline stage, and distinguishes sleep states in the online stage by using our designed sleep-status discrimination algorithm. The experimental results illustrate that the proposed method efficiently distinguishes sleep statuses without using a wearable device contact to body or using PSG diagnosis undertaken at hospitals.

Original languageEnglish
Title of host publicationProceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-162
Number of pages3
ISBN (Electronic)9781538678848
DOIs
Publication statusPublished - 2019 Mar
Event1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, Taiwan
Duration: 2019 Mar 182019 Mar 20

Publication series

NameProceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

Conference

Conference1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
CountryTaiwan
CityHsinchu
Period19/3/1819/3/20

Keywords

  • Sleep-status discrimination
  • machine learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Wang, C., Chiang, T. Y. F., Fang, S. H., Li, C. J., & Hsu, Y. L. (2019). Machine Learning Based Sleep-Status Discrimination Using a Motion Sensing Mattress. In Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 (pp. 160-162). [8771632] (Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AICAS.2019.8771632