Integrating Remote PPG in Facial Expression Analysis Framework

Abstract

This demonstration paper presents the FaceReader framework where human face image and skin color variations are analyzed for observing facial expressions, vital signs including but not limited to average heart rate (HR), heart rate variability (HRV) and also the stress and confidence levels of the person. Remote monitoring of the facial and vital signs could be useful for wide range of applications. FaceReader uses active appearance modeling for facial analysis and novel signal processing techniques for heart rate and variability estimation. The performance has been objectively evaluated and psychological guidelines for stress measurements are incorporated in the framework for analysis.