Detecting Readers with Dyslexia Using Machine Learning with Eye Tracking Measures
Luz Rello, Miguel Ballesteros · 2015 · Proceedings of the 12th International Web for All Conference (W4A)
This paper presents the first machine learning model to automatically detect readers with dyslexia using eye tracking data. The authors trained a Support Vector Machine (SVM) binary classifier on a dataset of 1,135 readings from 97 Spanish-speaking participants aged 11 to 54 —…
dyslexia · eye tracking · machine learning · detection · support vector machine