Publications

Activity recognition, wearable devices, machine learning

  • Benoît Hohl, Hector-F. Satizabal and Andres Perez-Uribe, “Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods“, In: Wand, M., Malinovská, K., Schmidhuber, J., Tetko, I.V. (eds) Artificial Neural Networks and Machine Learning – ICANN 2024. Lecture Notes in Computer Science, vol 15023. Springer, Cham., pp. 162–175, 2024
  • Izadmehr, Yasaman, Kamiar Aminian, and Andres Perez-Uribe. “Enhancing hand and object detection for monitoring patients with upper-limb impairment: a study on the impact of input size in foundation models.” In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4702-4707. IEEE, 2023.
  • Izadmehr, Yasaman, Héctor F. Satizábal, Kamiar Aminian, and Andres Perez-Uribe. “Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms.” Applied Sciences 12, no. 13 (2022): 6578.
  • Tolosana, Ruben, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez, and Aythami Morales. “DeepWriteSYN: On-line handwriting synthesis via deep short-term representations.” In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 1, pp. 600-608. 2021.
  • Ricardo Muñoz Bocanegra, Jesús Alfonso López, Héctor Satizabal and Andrés Pérez Uribe, “Fruit and Vegetable Information System Using Embedded Convolutional Neural Networks.” In Proceedings of 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 11-15 November 2019, Guayaquil, Ecuador. 11-15 November 2019, 2019.
  • Richoz, S., Perez-Uribe, A., Birch, P., & Roggen, D.. “Benchmarking deep classifiers on mobile devices for vision-based transportation recognition.” In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019, pp. 803-807
  • Sebastien Richoz, Mathis Ciliberto, Lin Wang, Philip Birch, Hristijan Gjoreski, Andres Perez-Uribe, and Daniel Roggen, “Human and Machine Recognition of Transportation Modes from Body-Worn Camera Images“, In 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 67-72. IEEE, 2019.
  • Andres Perez-Uribe, Hector-Fabio Satizabal-Mejia, « High-level activity recognition for cognitive support in older adults», In FTAL conference on Industrial Applied Data Science, Lugano, 18-19 October, 2018, pp. 9-10
  • Sabbani Imad, Perez-Uribe Andres, Bouattane Omar, El Moudni Abdellah, « Deep convolutional neural network architecture for urban traffic flow estimation », International Journal of Computer Science and Network Security, Vol 18, No 7, 2018, pp. 69-75
  • Chabloz, Olivier, David Da Silva Ändrade, Andres Upegui, Hector F. Satizábal, and Andres Perez-Uribe. “DiscoveryTree: Relative localization based on multi-hop BLE beacons.” In 2017 Global Internet of Things Summit (GIoTS), pp. 1-6. IEEE, 2017.
  • H. Satizabal, A. Grillon, A. Upegui, G. Millet, G. Picasso, A. Perez-Uribe, “ActiDote – A wireless sensor-based system for self-tracking activity levels among manual wheelchair users”, EAI Endorsed Transactions on Pervasive Health and Technology, 17(12): e5, 2017
  • A. Grillon, A. Perez-Uribe, H. Satizabal, L. Gantel, D. Da Silva Andrade, A. Upegui, and F. Degache, “A wireless sensor-based system for self-tracking activity levels among manual wheelchair users“, eHealth 360°, Volume 181 o