Detection Of Dyslexia From Eye Movements Using Anfis & Bbwpe Feature Extraction Methods

ABSTRACT - The control of attention orienting was studied in children with specific reading disorder (SRD)or dyslexia, and it was compared with that of normal readers. The main goal of the study was to propose andimplement new feature extraction method for extracting the features efficient from the signals and it is classifiedusing the classifier from eye movement signal. Eye movements of 76 school children were measured usingvideooculographic (VOG) technique during one reading and four nonreading tasks. Videooculographic (VOG)is used to measure the Eye movement’s signals of children through single reading and four non reading tasks.Time and frequency domain features were extracted and various feature selection methods were performed toselect subsets of significant features. The best basis-based wavelet packet entropy method (BBWPE) is proposedin this research for extracting the features from the eye movement signal. The improved ANFIS based on PSO isused as a classifier. The parameters used for finding accuracy of the proposed methodology are sensitivity,specificity and p-value. The Experimentation confirmed that the proposed ANFIS with BBWPE model has gooddetection results than ANFIS with MAR and ANN model in terms of parameters like sensitivity, specificity,detection accuracy and p-value.KEYWORD - Learning disability, Feature Extraction, Classification, Adaptive Neuro-Fuzzy Inference System(ANFIS), Best Basis-based Wavelet Packet Entropy method (BBWPE)