no code implementations • 22 Jan 2024 • F. Xavier Gaya-Morey, Silvia Ramis, Jose M. Buades-Rubio, Cristina Manresa-Yee
Our examination of the outcomes, both the performance and the important image regions for the models, reveals significant distinctions in facial expressions between individuals with and without intellectual disabilities, as well as among individuals with intellectual disabilities.
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.