Register for free to
view the full innovation profile.
Inspired by recent advances in matrix completion theory, allows us to predict the HR while simultaneously discovering the best regions of the face to use for estimatimation
About
Our approach, inspired by recent advances in matrix completion theory, allows us to predict the HR while simultaneously discovering the best regions of the face to use for estimation. This database contains 102 videos of 40 subjects, including 2D facial expression video sequences and the corresponding heart-rate (HR) and blood-pressure (BP) sequences.
Key Benefits
Facial expression annotated for both the occurrence and intensity of facial action units from 2D video by experts in the Facial Action Coding System (FACS). Database includes a diverse array of participants. Could lead into non-invasive, remote heart rate estimation from a 2D camera for healthcare purposes.