Software developed as part of the project and made publicly accessible

We have publicly available code for the following papers:

  • J Ortigoso-Narro, F Diaz-de-Maria, MM Dehshibi, A Tajadura-Jiménez, “L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection”, IEEE Sensors Journal, vol. 25, no. 10, pp. 18409-18418, 2025. IF (2024) = 4,7. Q1 (16/79).

Publicly available code: https://github.com/jortigoso/LSFAN

  • I. González-Díaz, M. Molina-Moreno, J. Benois-Pineau and A. de Rugy, “Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting,” in IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 12, pp. 7517-7530, Dec. 2024. IF: 6.8 ( 2024) Q1 (6/48) Medical informatics.

Publicly available code: https://github.com/igondia/AMT-GAF

  • M. Molina-Moreno, I. González-Díaz, J, Sicilia, G. Crainiciuc, M. Palomino-Segura, A. Hidalgo, F. Díaz-de-María, “ACME: Automatic feature extraction for Cell Migration Examination through intravital microscopy imaging”, Medical Image Analysis, 2022. IF: 10,9 Q1 (5/110).

Publicly available code: https://github.com/miguel55/ACME

  • M Molina-Moreno, I González-Díaz, R Mikut, F Díaz-de-María, “A self-supervised embedding of cell migration features for behavior discovery over cell populations”, Computer Methods and Programs in Biomedicine 255, 108337, 2024. IF: 4.8, Q1 (20/147).

Publicly available code: https://github.com/miguel55/SSE-BD

  • Code for interaction testing of Companion-CM: anticipatory (phase 1) and proactive (phase 2); Elisabeth Menéndez, UC3M.

Publicly available code: https://github.com/elisabeth-ms/tiago-companion.git

  • Code for obtaining grasp shapes and positions: everyday objects; Elisabeth Menéndez, UC3M.

Publicly available code: https://github.com/elisabeth-ms/extrusion-based-primitive-fitting-singleview

Code pending release

The code will be publicly released upon acceptance of the corresponding manuscripts, which are currently either under review or in preparation.

  • Code: Abal, Silvia; Menendez, Elisabeth;Loureiro, María; Martínez, Santiago; Balaguer, Carlos; Díaz-de-María, Fernando; González-Díaz, Iván. “Closing the sim2real Gap in Personalized HRI: Simulation-Based Pretraining and Real-World Adaptation and Validation”. En revisión en ACM Transactions on Human-Robot Interaction. IF 5.5 (2024) Q1 (10/48) Robotics.
  • Code: M. Loureiro, I. González-Díaz, F. Díaz-de-María, Santiago Martínez-de-la-Casa, Carlos Balaguer,  “Compressive Memory in Transformers for action prediction in long procedural egocentric videos”, 2026. En preparación.

Publicly available databases developed as part of the project

The project has generated publicly accessible databases:

Databases pending release

These databases will be made public as soon as the corresponding paper is accepted (currently under review):

  • Dataset: SHARON-BREAKFAST