The heart rate (HR) is one of the important indicators for observing the patient condition. Therefore, many estimation techniques for acquiring heart rate have been developed. The photoplethysmography (PPG) and electrocardiography (ECG) are the common measurement techniques for estimating the heart rate. However, they should contact on the human skin in order to estimate the accurate heart rate. In this paper, we propose a non-contact robust heart rate measurement method using a webcam device. In addition, we evaluated the performance of the proposed algorithm in comparison with other algorithms.
['Dongrae Cho', 'Boreom Lee']
Non-contact robust heart rate estimation using HSV color model and matrix-based IIR filter in the face video imaging