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A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Sleep postures monitoring systems in the hospital aim at transforming sensing signals into quantitative data to characterize the sleep behaviors of the patient. However, a home-care sleep posture monitoring system needs to be user friendly. In this paper, we present iSleePost - a user-friendly home-care intelligent sleep posture monitoring system. We address the labor-intensive labeling issue of traditional machine learning approaches in the training phase. Our proposed mobile health (mHealth) system leverages the communications and computation capabilities of mobile phones for provisioning a continuous sleep posture monitoring service. Our experiments show that iSleePost can achieve 90 percent accuracy in recognizing sleep postures. More importantly, iSleePost demonstrates that an easily-wear wrist sensor can accurately quantify sleep postures.
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........e5d6f3cf4a403edae48e5fecc0696e12