3 citations · 7 across the 9 of their papers we have counts for
15 papers
Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition
Yunxiang Luo, Constantino Álvarez Casado, Xiaoting Wu +4
Predictive video representations do not by themselves specify how a multimodal system should handle missing sensors. We transfer frozen V-JEPA2 features to a set of heterogeneous s…
Oracle headroom without signal: null-calibrated evaluation of candidate selection for thermal heart rate estimation
Mohammad Rakibur Rahman, Nhi Nguyen, Sasan Sharifipour +4
Camera-based physiological monitoring can produce multiple estimates from several facial regions, extraction methods, and processing settings. Signal quality indices aim to select…
Phenomenon-Graph JEPA: Label-Efficient Representation Learning for Contactless Cardiorespiratory Sensing
Constantino Álvarez Casado, Nhi Nguyen, Mohammad Rakibur Rahman +4
Millimeter-wave (mmWave) radar and RGB-D cameras can record cardiac and respiratory waveforms continuously and without contact, but labeled recordings remain scarce because every l…
Handwritten Digit Leakage from Smartphone Motion Sensors Across Unseen Users and Phone Models
Constantino Álvarez Casado, Erkka Rantahalvari, Matteo Pedone +6
Smartphone motion sensors support interactive applications, but their readings may also reveal touchscreen input beyond their intended use. Assuming known drawing intervals, we stu…
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…
From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
Sasan Sharifipour, Constantino Álvarez Casado, Manuel Lage Cañellas +1
Loss functions are fundamental to learning accurate 3D point cloud models, yet common choices trade geometric fidelity for computational cost. Chamfer Distance is efficient but per…
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…
Multi-objective Feature Selection in Remote Health Monitoring Applications
Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas +4
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.…
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee +6
Indoor human monitoring systems leverage a wide range of sensors, including cameras, radio devices, and inertial measurement units, to collect extensive data from users and the env…
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…
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes
Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone +3
Respiratory diseases remain a leading cause of mortality worldwide, highlighting the need for faster and more accurate diagnostic tools. This work presents a novel approach leverag…
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…
Depression Recognition using Remote Photoplethysmography from Facial Videos
Constantino Álvarez Casado, Manuel Lage Cañellas, Miguel Bordallo López
Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to a…