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이강휴(Kang-Hyu Lee),박두복(Du-bok Park),고한석(Han-Seok Ko) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
Recently, there are many commercialized applications which exploit body signals in non-invasive manner. For instance, body signals are frequently applied in the field of surveillance such as face recognition, iris recognition, and finger print recognition. Furthermore, the health inspection by analyzing body signals becomes also a potential application since subtle body motion signals such as heart rate can intuitively show human health state. In this paper, we propose a method that estimates such subtle body motion by magnifying the signal of human skin. First, the specific region of interest(ROI) is cropped to reduce the computational complexity. Then, HSV color space conversion is conducted to extract the color information. In the converted color space, hue(H) signal is magnified based on Eulerian video magnification. Finally, subtle body motion is estimated by analyzing inflection points of the magnified hue(H) signal. Experimental results validate the proposed method can estimate the human motion (e.g. heart rate) with high accuracy.