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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaowei Xu Feng Lin Aosen Wang Chen Song Yu Hu Wenyao Xu |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., SUNY at Buffalo, New York, NY, USA (Feng Lin; Aosen Wang; Chen Song; Wenyao Xu) || Sch. of Opt. & Electron. Inf., HUST, Wuhan, China (Xiaowei Xu; Yu Hu) |
| Abstract | Sleep quality is highly correlated with many chronic diseases, such as cardiovascular disease and sleep disorders. Sleep posture is a key component in sleep quality assessment. Currently, body pressure analysis has been a popular approach for sleep posture recognition [1]. In this paper, we propose a novel distance metric for sleep posture dissimilarity measure, called Body-Earth Mover's Distance (BEMD). BEMD can effectively recognize the difference of pressure distributions by projecting the pressure distribution to the horizontal and vertical directions. A pilot study is performed with 14 persons for six different postures. The experimental results show that our proposed BEMD can achieve a high accuracy of 90.78%, which outperforms the previous method [1] with an improvement of 9.1%. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 2307121 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479972340 |
| DOI | 10.1109/BioCAS.2015.7348281 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Measurement Histograms Image segmentation Fetus Sleep apnea Sensors Diseases |
| Content Type | Text |
| Resource Type | Article |
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