Non-contact video based estimation for heart rate variability using ambient light by extracting hemoglobin information

نویسنده

  • Norimichi Tsumura
چکیده

In this paper, we propose the method of heart rate (HR) and heart rate variability (HRV) spectrogram estimation by analyzing extracted hemoglobin concentration from facial color images. Our method does not require any special camera. In addition, stable presumption is possible even under the ambient light sources. As a result, we could get HR around 99% accuracy and could get HRV spectrogram with the same accuracy of electrocardiogram. Therefore we could identify if participants were relaxed or stressed using conventional DSLR camera.

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تاریخ انتشار 2016