Dynamic heart rate estimation using principal component analysis
In this paper, facial images from various video sequences are used to obtain a heart rate reading. In this study, a video camera is used to capture the facial images of eight subjects whose heart rates vary dynamically, between 81 and 153 BPM. Principal component analysis (PCA) is used to recover th...
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| Format: | Article |
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Optical Society of America
2015
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