In this work, we present a comparison between our two approaches, one which is based on the ICA and the other is based on EVM. To the best of our knowledge, EVM has not been successfully employed to extract HRV features from a video of a human face. Other investigated methods rely on Eulerian Video Magnification (EVM) to detect subtle changes in skin color associated with the PPG. The latest approaches apply Independent Component Analysis (ICA) on the color channels of video recordings to extract a PPG signal. Such measurement methods involve the extraction of the photoplethysmography (PPG) signal from the human’s face through a camera. Recent advancements in non-contact HR and HRV measurement techniques will likely further boost interest in emotional estimation through HRV. However, nowadays investigators from a variety of other fields are also probing the subject. Medical researchers have always been interested in Heart Rate (HR) and Heart Rate Variability (HRV) analysis.
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