Explainable Facial Expression Recognition for People with Intellectual Disabilities

作     者：Guarinos, Silvia Ramis Yee, Cristina Manresa Buades-Rubio, Jose Maria Gaya-Morey, Francesc Xavier 

作者机构：Group of Computer Graphics Computer Vision and IA Maths Computer Science Department Universitat de les Illes Balears Palma Illes Balears Spain 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Human computer interaction 

摘      要：Facial expression recognition plays an important role in human behaviour, communication, and interaction. Recent neural networks have demonstrated to perform well at its automatic recognition, with different explainability techniques available to make them more transparent. In this work, we propose a facial expression recognition study for people with intellectual disabilities that would be integrated into a social robot. We train two well-known neural networks with five databases of facial expressions and test them with two databases containing people with and without intellectual disabilities. Finally, we study in which regions the models focus to perceive a particular expression using two different explainability techniques: LIME and RISE, assessing the differences when used on images containing disabled and non-disabled people. Copyright © 2024, The Authors. All rights reserved.