@inproceedings{259a7f9b5afc44d7ac06cf026ccf9819,
title = "A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring",
abstract = "Sleep plays a pivotal role in the quality of life, and sleep posture is related to many medical conditions such as sleep apnea. In this paper, we design a dense pressure-sensitive bedsheet for sleep posture monitoring. In contrast to existing techniques, our bedsheet system offers a completely unobtrusive method using comfortable textile sensors. Based on high-resolution pressure distributions from the bedsheet, we develop a novel framework for pressure image analysis to monitor sleep postures, including a set of geometrical features for sleep posture characterization and three sparse classifiers for posture recognition. We run a pilot study and evaluate the performance of our methods with 14 subjects to analyze 6 common postures. The experimental results show that our proposed method enables reliable sleep posture recognition and offers better overall performance than state-of-the-art methods, achieving up to 83.0% precision and 83.2% recall on average.",
keywords = "Bedsheet, Pressure Image Analysis, Sleep Posture, Sparse Classifier",
author = "Liu, {Jason J.} and Wenyao Xu and Huang, {Ming Chun} and Nabil Alshurafa and Majid Sarrafzadeh and Nitin Raut and Behrooz Yadegar",
year = "2013",
month = jul,
day = "18",
doi = "10.1109/PerCom.2013.6526734",
language = "English (US)",
isbn = "9781467345750",
series = "2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013",
pages = "207--215",
booktitle = "2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013",
note = "11th IEEE International Conference on Pervasive Computing and Communications, PerCom 2013 ; Conference date: 18-03-2013 Through 22-03-2013",
}