Continuous Real-time Heart Rate Monitoring from Face Images
2016
A real-time monitoring method of heart rate (HR) from face images using Real-time Pulse Extraction
Method (RPEM) is described and corroborated for the theoretical efficacy by investigating fundamental
mechanisms through three kinds of experiments; (i) measurement of light reflection from face covered by
copper film, (ii) spectroscopy measurement and (iii) simultaneous measurement of face images and laser
speckle images. The investigation indicated the main causes of brightness change are both the green light
absorption variation by the blood volume changes and the face surface reflection variation by pulsatory face
movements. RPEM removes the motion noise from the green light absorption variation and the
effectiveness is ensured by comparing with the pulse wave of the ear photoplethysmography. We also
applied RPEM to continuous real-time HR monitoring of seven participants during office work under non-controlled
condition, and achieved HR measured rate of 44 % to the number of referential ECG beats while
face is detected, with RMSE = 6.7 bpm as an average result of five days.
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