Remote Heart Rate Estimation

Heart rate serves as a crucial health indicator, aiding in the early detection of various disorders, especially stress-related issues. Traditionally, dedicated devices were necessary for heart rate monitoring, requiring physical contact with the individual. Recent advancements in artificial intelligence have enabled heart rate estimation from facial videos. However, these methods face challenges, such as movement artifacts, changes in illumination and high heart rates. Our research project aims to identify and address these limitations, working towards more robust methods for accurate heart rate estimation under diverse conditions.

This project is part of SAIL, which is funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia under the grant number NW21-059A.