no code implementations • 22 Jan 2024 • Álvaro Sabater-Gárriz, F. Xavier Gaya-Morey, José María Buades-Rubio, Cristina Manresa Yee, Pedro Montoya, Inmaculada Riquelme
Objectives: 1) to build a dataset of facial pain expressions in individuals with cerebral palsy, and 2) to develop an automated facial recognition system based on deep learning for pain assessment addressed to this population.
no code implementations • 22 Jan 2024 • F. Xavier Gaya-Morey, Silvia Ramis, Jose M. Buades-Rubio, Cristina Manresa-Yee
To address this objective, we train a set of twelve distinct convolutional neural networks in different approaches, including an ensemble of datasets without individuals with intellectual disabilities and a dataset featuring such individuals.
Explainable artificial intelligence Facial Expression Recognition
no code implementations • 22 Jan 2024 • F. Xavier Gaya-Morey, Silvia Ramis-Guarinos, Cristina Manresa-Yee, Jose M. Buades-Rubio
We employ an innovative global explainable AI method to generate heatmaps, revealing crucial facial regions for the twelve networks trained on six facial expressions.
no code implementations • 22 Jan 2024 • F. Xavier Gaya-Morey, Jose M. Buades-Rubio, Cristina Manresa-Yee
Our contributions include: (1) Extending a fine-grained explanation framework tailored for computer vision data, (2) Adapting six existing explanation techniques to work on video data by incorporating temporal information and enabling local explanations, and (3) Conducting an evaluation and comparison of the adapted explanation methods using different models and datasets.
no code implementations • 22 Jan 2024 • F. Xavier Gaya-Morey, Cristina Manresa-Yee, Jose M. Buades-Rubio
In this study, a systematic review of the literature is presented on fall detection and Human Activity Recognition (HAR) for the elderly, as the two main tasks to solve to guarantee the safety of elderly people living alone.