2 citations · 6 across the 7 of their papers we have counts for
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SiNC+: Adaptive Camera-Based Vitals with Unsupervised Learning of Periodic Signals
Jeremy Speth, Nathan Vance, Patrick Flynn +1
Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote puls…
MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation
Jeremy Speth, Nathan Vance, Benjamin Sporrer +3
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, whic…
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…