Unsupervised Subject Detection via Remote PPG

Subject detection is a crucial task for camera-based remote healthcare monitoring. Most existing methods in subject detection rely on supervised learning of physical appearance features. However, their performances are highly restricted to the pretrained appearance model, while still suffering from...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 62; H. 11; S. 2629 - 2637
Hauptverfasser:	Wang, Wenjin, Stuijk, Sander, de Haan, Gerard
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Analysis of variance Biomedical monitoring Construction Databases, Factual Face Face - anatomy & histology face detection Feature extraction Health care Human Humans Image Processing, Computer-Assisted - methods Matrix decomposition Monitoring object segmentation photo plethysmography Photoplethysmography - methods Pulse - methods Pulse measurements Pulse rate remote sensing Robustness Signal Processing, Computer-Assisted Similarity Skin Sparse matrices Tasks Variance analysis remote sensing object segmentation photoplethysmography face detection Biomedical monitoring
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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