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20232026
most citedNon-contact Multimodal Indoor Human Monitoring Systems: A Survey

1 citations · 1 across the 7 of their papers we have counts for

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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.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

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…

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.CV2023

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…

cs.CV2023

Non-Contact Heart Rate Measurement from Deteriorated Videos

Nhi Nguyen, Le Nguyen, Constantino Álvarez Casado +2

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can…