Hidden Markov models for analysis of eye movements of dyslexic children

The paper describes an application of hidden Markov models to dyslexia detection from eye movements. Eye movements of reading-age dyslexic and control children are measured, pre-processed and hidden Markov model with two hidden states is trained on velocity time series for each child. The two states...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Macas, Martin, Lhotska, Lenka, Novak, Daniel
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	dyslexia Extraterrestrial measurements eye movements feature extraction hidden Markov models pattern recognition video-oculography
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