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Found 10 papers, 1 papers with code
SiNC+: Adaptive Camera-Based Vitals with Unsupervised Learning of Periodic Signals
We present the first non-contrastive unsupervised learning framework for signal regression to mitigate the need for labelled video data.
MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
We provide thorough experiments demonstrating the suitability of MSPM to support research on rPPG, respiration rate, and PTT.
Promoting Generalization in Cross-Dataset Remote Photoplethysmography
Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models.
Full-Body Cardiovascular Sensing with Remote Photoplethysmography
In this paper we explored the feasibility of rPPG from non-face body regions such as the arms, legs, and hands.
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Given the limited inductive biases and impressive empirical results, the approach is theoretically capable of discovering other periodic signals from video, enabling multiple physiological measurements without the need for ground truth signals.
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
Extensive experimentation with eight research datasets (rPPG-specific: DDPM, CDDPM, PURE, UBFC, ARPM; deep fakes: DFDC; face presentation attack detection: HKBU-MARs; rPPG outlier: KITTI) show better accuracy of anomaly detection for deep learning models incorporating the proposed training (75. 8%), compared to models trained regularly (73. 7%) and to hand-crafted rPPG methods (52-62%).
State Of The Art In Open-Set Iris Presentation Attack Detection
We have curated the largest publicly-available image dataset for this problem, drawing from 26 benchmarks previously released by various groups, and adding 150, 000 images being released with the journal version of this paper, to create a set of 450, 000 images representing authentic iris and seven types of presentation attack instrument (PAI).
Digital and Physical-World Attacks on Remote Pulse Detection
Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor.
Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results
Our application context is an interview scenario in which the interviewee attempts to deceive the interviewer on selected responses.
Remote Pulse Estimation in the Presence of Face Masks
Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras.
