5 papers
Cross-Dataset Transfer and Reliability of Explainable Artificial Intelligence for RhythmFormer Remote Photoplethysmography
Louis Chen, Torbjörn E. M. Nordling
Background. Remote photoplethysmography estimates the cardiovascular pulse from facial video, and its explanations have rested on inspecting heatmaps rather than on quantitative ev…
Explaining RhythmFormer: A Systematic XAI Analysis of Periodic Sparse Attention for Remote Photoplethysmography
Louis Chen, Torbjörn E. M. Nordling
Remote photoplethysmography (rPPG) transformers achieve low heart-rate error on benchmarks, yet their decisions remain opaque--a growing concern as rPPG moves toward clinical heart…
Illumination-Robust Camera-Based Heart-Rate Estimation for Physiological Sensing in Robots
Zhi Wei Xu, Torbjörn E. M. Nordling
Physiological awareness is important for service, social, and assistive robots that interact with humans in everyday environments. Remote photoplethysmography (rPPG) enables non-co…
3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images
Esteban Román Catafau, Torbjörn E. M. Nordling
This paper addresses the fundamental computer vision challenge of robust circle detection and fitting in degraded imaging conditions. We present Combinatorial Convolution-based Cir…
Unsupervised Skin Feature Tracking with Deep Neural Networks
Jose Chang, Torbjörn E. M. Nordling
Facial feature tracking is essential in imaging ballistocardiography for accurate heart rate estimation and enables motor degradation quantification in Parkinson's disease through…