NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement

The document discusses an NLP-based approach to detect autism spectrum disorder (ASD) through analysis of eye movement data using eye-tracking technology. It presents an experimental framework which transformed high-dimensional eye-tracking information into a structured format, yielding promising accuracy in classification tasks. However, it notes limitations due to the absence of benchmark datasets for comparing their results against other machine learning models in the ASD research field.