Francisco Calatrava Nicolás

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T2215
Phone
francisco.calatrava-nicolas@oru.se

Publications

[1]	F. M. Calatrava Nicolás and O. Martinez Mozos. Light Residual Network for Human Activity Recognition using Wearable Sensor Data. IEEE Sensors Letters, 7(10), 2023 [ BibTeX \| DiVA ]
[2]	R. Barber, F. J. Ortiz, S. Garrido, F. Calatrava Nicolás, A. Mora, A. Prados, J. A. Vera-Repullo, J. Roca-González, I. Méndez and O. Martinez Mozos. A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives. Sensors, 22(20), 2022 [ BibTeX \| DiVA ]
[3]	F. M. Calatrava-Nicolás, E. Gutiérrez-Maestro, D. Bautista-Salinas, F. J. Ortiz, J. R. González, J. A. Vera-Repullo, M. Jiménez-Buendía, I. Méndez, C. Ruiz-Esteban and O. Martinez Mozos. Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities. Sensors, 21(20), 2021 [ BibTeX \| DiVA ]

[1]	F. Calatrava Nicolás, S. Miyauchi, V. Fortes Rey, P. Lukowicz, T. Stoyanov and O. Martínez Mozos. Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition. In 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP) 2025 [ BibTeX \| DiVA ]
[2]	F. Calatrava Nicolás, L. Shakti Swarup Ray, V. Fortes Rey, P. Lukowicz and O. Martínez Mozos. FAME: Feature-Augmented Multi-View Ensemble Framework for Human Activity Recognition using Inertial Sensors. 2025 [ BibTeX \| DiVA ]
[3]	F. M. Calatrava Nicolás, V. Fortes Rey, P. Lukowicz and O. Martínez Mozos. Inertial Sensor-Based Hierarchical Contrastive Multi-View Learning for Human Activity Recognition. In ISWC '25 : Proceedings of the 2025 ACM International Symposium on Wearable Computers, pages 106-112, 2025 [ BibTeX \| DiVA ]