16 citations · 19 across the 4 of their papers we have counts for
4 papers
U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Estimation
Yusuke Akamatsu, Akinori F. Ebihara, Terumi Umematsu
Blood pressure (BP) measurement is crucial for daily health assessment. Remote photoplethysmography (rPPG), which extracts pulse waves from face videos captured by a camera, has th…
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces
Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka +2
Daily monitoring of intra-personal facial changes associated with health and emotional conditions has great potential to be useful for medical, healthcare, and emotion recognition…
CalibrationPhys: Self-supervised Video-based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras
Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka
Video-based heart and respiratory rate measurements using facial videos are more useful and user-friendly than traditional contact-based sensors. However, most of the current deep…
Adaptive Heart Rate Estimation from Face Videos
Utkarsh Sharma, Terumi Umematsu, Masanori Tsujikawa +1
We propose a novel heart rate (HR) estimation method from facial videos that dynamically adapts the HR pulse extraction algorithm to separately deal with noise from 'rigid' head mo…