activity
20242026
collaborators

8 papers

cs.CV2026

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…

cs.CV2026

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…

cs.LG2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience

Nhi Nguyen, Le Nguyen, Honghan Li +2

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the acc…

cs.LG2024

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.…