Key result
A passive, non-contact heart rate measurement system using an RGB camera combined with EVM, KCF, and ICA algorithms can effectively measure heart rate.
A novel passive non-contact heart rate measurement method using an RGB camera and signal processing algorithms demonstrates effective heart rate monitoring for potential smart home or e-health applications.
May enable passive HR monitoring in e-health settings; leaves open clinical validation before adoption.
Heart rate is one of the most important Physiological characteristics related to the health. Recently, the non-contact heart rate measurement has got more attentions. However, these methods only focused on the active measurement. In this paper, we study the non-contact measurement of HR in a passive way which extends its further use into the smart home or e-health. In this system, a RGB camera is used to capture the video images about the objective. For these captured images, we strengthen the color from the captured images with an EVM algorithm, and use KCF algorithm to locate the chosen RoI. After that, the ICA algorithm is utilized to extract the effective signal, and the heart rate is obtained by an ideal band pass filter with the fast Fourier transform. Experimental results showed that our system can measure the heart rate effectively.
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Cai et al. (2018) studied Heart rate measurement. Passive heart rate measurement using RGB camera and algorithms (EVM, KCF, ICA, FFT) was evaluated on Heart rate measurement effectiveness. A passive, non-contact heart rate measurement system using an RGB camera combined with EVM, KCF, and ICA algorithms can effectively measure heart rate.
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