Manuel Lage Cañellas

According to our database, Manuel Lage Cañellas authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Non-contact multimodal indoor human monitoring systems: A survey.

Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López

Inf. Fusion, 2024

OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis.

Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee, Constantino Álvarez Casado, Xiaoting Wu, Praneeth Susarla, Sasan Sharifipour, Dinesh Babu Jayagopi, Miguel Bordallo López

CoRR, 2024

Multi-objective Feature Selection in Remote Health Monitoring Applications.

Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas, Anirban Mukherjee, Nhi Nguyen, Dinesh Babu Jayagopi, Miguel Bordallo López

CoRR, 2024

Estimating Exercise-Induced Fatigue from Thermal Facial Images.

Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen, Miguel Bordallo López

Proceedings of the IEEE International Conference on Acoustics, 2024

Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes.

Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Le Nguyen, Miguel Bordallo López

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Depression Recognition Using Remote Photoplethysmography From Facial Videos.

Constantino Álvarez Casado, Manuel Lage Cañellas, Miguel Bordallo López

IEEE Trans. Affect. Comput., 2023

Audio-Based Classification of Respiratory Diseases using Advanced Signal Processing and Machine Learning for Assistive Diagnosis Support.

Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Miguel Bordallo López

CoRR, 2023

Estimating exercise-induced fatigue from thermal facial images.

Manuel Lage Cañellas, Constantino Álvarez Casado, Le Ngu Nguyen, Miguel Bordallo López

CoRR, 2023

2022

Improving Depression estimation from facial videos with face alignment, training optimization and scheduling.

Manuel Lage Cañellas, Constantino Álvarez Casado, Le Ngu Nguyen, Miguel Bordallo López

CoRR, 2022

Synchrony-based Depression Score Aggregation from Single-Modality Models.

Le Ngu Nguyen, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Miguel Bordallo López

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022