Mahiye Uluyagmur Ozturka, Ayse Rodopman Armanb, Gresa Carkaxhiu Bulutc, Onur Tugce Poyraz Findikb, Sultan Seval Yilmazd, Herdem Aslan Gencb, M. Yanki Yazgane,f, Umut Tekera, Zehra Cataltepea
Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 891-905, 2018, DOI:10.31209/2018.100000058
Abstract Emotion recognition behavior and performance may vary between people with major
neurodevelopmental disorders such as Autism Spectrum Disorder (ASD), Attention Deficit
Hyperactivity Disorder (ADHD) and control groups. It is crucial to identify these differences
for early diagnosis and individual treatment purposes. This study represents a
methodology by using statistical data analysis and machine learning to provide help to
psychiatrists and therapists on the diagnosis and individualized treatment of participants
with ASD and ADHD. In this paper we propose an emotion recognition experiment
environment and collect eye tracker fixation data together with the application log data More >
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