3 citations · 7 across the 9 of their papers we have counts for
7 papers · 1 filter
Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring
Constantino Álvarez Casado, Mohammad Rahman, Sasan Sharifipour +4
Human-machine interfaces in industrial automation need sensing modules that monitor operator actions and physiological state. This is important in factories, vehicles, machinery ca…
Quality-Aware Framework for Video-Derived Respiratory Signals
Nhi Nguyen, Constantino Álvarez Casado, Le Nguyen +2
Video-based respiratory rate (RR) estimation is often unreliable due to inconsistent signal quality across extraction methods. We present a predictive, quality-aware framework that…
LiDAR-based Human Activity Recognition through Laplacian Spectral Analysis
Sasan Sharifipour, Constantino Álvarez Casado, Le Nguyen +4
Human Activity Recognition supports applications in healthcare, manufacturing, and human-machine interaction. LiDAR point clouds offer a privacy-preserving alternative to cameras a…
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee +6
In the domain of non-contact biometrics and human activity recognition, the lack of a versatile, multimodal dataset poses a significant bottleneck. To address this, we introduce th…
Estimating exercise-induced fatigue from thermal facial images
Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen +1
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues. In this article, we present an automated metho…
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling
Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen +1
Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions. While successful models typically leverage using 3D-CNNs or…