Deep learning methods for rPPG estimation

Bhargav Acharya
Research Theme
R1 Human agency
Neural Networks

The primary objective of the project is to develop and evaluate estimation methods for remote Photoplethysmography (rPPG) with potential applications in healthcare and stress monitoring. I am presently evaluating state-of-the-art methods in challenging scenarios using a novel dataset we’ve collected. The subsequent phases involve enhancing methods to ensure robustness to factors like illumination and skin tone. Furthermore, there’s a plan to explore the utility of rPPG in the specific context of stress monitoring.