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Conference paper
On the application of machine learning to classify sleep positions
2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp.1087-1090
IEEE / Institute of Electrical and Electronics Engineers Incorporated
2020 International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, Nevada, 12/16/2020–12/18/2020)
2020
Abstract
In this work, a low-cost device is developed that enables the monitoring and classification of sleep positions. Driven by the growing problem of sleep disorders, the device can be utilized at the patients’ place to record and report their sleep positions. The device can also be used by hospitals and clinics for patients that requires continuous monitoring. Machine learning is used to classify different sleep positions based on sensors data collected from the device.
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Details
- Title
- On the application of machine learning to classify sleep positions
- Publication Details
- 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp.1087-1090
- Resource Type
- Conference paper
- Conference
- 2020 International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, Nevada, 12/16/2020–12/18/2020)
- Publisher
- IEEE / Institute of Electrical and Electronics Engineers Incorporated; United States
- Copyright
- ©2020 IEEE
- Identifiers
- 99380090895606600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English