3 citations · 7 across the 9 of their papers we have counts for
9 papers
Promoting Generalization in Cross-Dataset Remote Photoplethysmography
Nathan Vance, Jeremy Speth, Benjamin Sporrer +1
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. While c…
Full-Body Cardiovascular Sensing with Remote Photoplethysmography
Lu Niu, Jeremy Speth, Nathan Vance +3
Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of…
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Jeremy Speth, Nathan Vance, Patrick Flynn +1
Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse esti…
Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
Jeremy Speth, Nathan Vance, Benjamin Sporrer +3
Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown i…
Digital and Physical-World Attacks on Remote Pulse Detection
Jeremy Speth, Nathan Vance, Patrick Flynn +2
Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor. We present the first examples of p…
Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results
Jeremy Speth, Nathan Vance, Adam Czajka +3
We present the Deception Detection and Physiological Monitoring (DDPM) dataset and initial baseline results on this dataset. Our application context is an interview scenario in whi…