An accurate, low-cost, easy-To-use sleep posture monitoring system

Poyuan Jeng, Li-Chun Wang

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

2 Scopus citations

Abstract

Sleeping is one of the most important activities in our daily lives and affect our health. However, very few people could really understand their sleeping habits, which is important to avoid potential sleep-related diseases. Most current studies on sleeping posture studies aim at the monitoring of sleeping postures. However, they are limited to be used in hospitals and need experts to operate these equipment. In this paper, we proposed an automatically sleeping posture estimation system for ordinary people to use in their homes. The customers are only required to wear two sensors, one on chest and the other on wrist during the training process of the sleeping posture monitoring model. We adopted random forest algorithm in the model training algorithm. After this training procedures, users' sleeping postures can be recognized by only wearing one sensor on the wrist. Also, we proposed a data cleaning procedures to process raw sensor data to find the ground truth of sleeping posture. Our experiment results showed that the proposed sleep posture technique can estimate the body posture accurately.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publicationApplied System Innovation for Modern Technology, ICASI 2017
EditorsTeen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages903-905
Number of pages3
ISBN (Electronic)9781509048977
DOIs
StatePublished - 21 Jul 2017
Event2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
Duration: 13 May 201717 May 2017

Publication series

NameProceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Conference

Conference2017 IEEE International Conference on Applied System Innovation, ICASI 2017
CountryJapan
CitySapporo
Period13/05/1717/05/17

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  • Cite this

    Jeng, P., & Wang, L-C. (2017). An accurate, low-cost, easy-To-use sleep posture monitoring system. In T-H. Meen, A. D. K-T. Lam, & S. D. Prior (Eds.), Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017 (pp. 903-905). [7988585] (Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI.2017.7988585