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

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 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

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.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…

eess.SP2023★ 1 cited

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…

eess.SP2023

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…