On the Application of Machine Learning to Classify Sleep Positions

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.