F. Xavier Gaya-Morey
Papers
1
Total Citations
7
H-Index
1
About
F. Xavier Gaya-Morey is a researcher at the forefront of accessible artificial intelligence, specializing in explainable machine learning, facial expression recognition, and assistive technologies for people with intellectual disabilities. His most-cited work, "Explainable Facial Expression Recognition for People with Intellectual Disabilities" (2023, 7 citations), pioneers the integration of transparency into emotion-recognition systems designed for vulnerable populations. By applying explainability techniques to neural networks, Gaya-Morey addresses the critical challenge of making AI-driven communication tools both accurate and interpretable for users with cognitive impairments. This contribution bridges the gap between state-of-the-art deep learning and real-world accessibility, ensuring that automated emotion recognition can be trusted and understood by caregivers and individuals alike. His research not only advances human-computer interaction but also champions ethical AI deployment in healthcare and social support contexts. Gaya-Morey’s work is gaining traction as a model for responsible innovation, demonstrating how cutting-edge technology can be tailored to empower marginalized communities while maintaining algorithmic transparency.
Research Focus
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Top Papers
- 1