Enhanced Whale Optimization Algorithm for the Eye Movement Recognition
Vilas S. Gaikwad · Journal of Computational Mechanics Power System and Control · 2021
In recent days, the Electrooculography (EOG) signals triggers the Human Computer Interface (HCI) control system.On the basis of the EOG signal pattern, the recognition of eye movements is performed to preside over the HCI system and perform a definite job on the category of eye movement.By means of several associated assessments, this work proposes a new technique for the recognition of eye movement on the basis of EOG signal by exploiting the Enhanced Whale Optimization Algorithm (E-WOA) with the aid of Neural Network (NN).To minimize the error function from the classifier, the E-WOA model is exploited.The developed model performance is examined by evaluating the adopted technique with the traditional techniques.From the outcomes, it is exhibited that higher performance of developed technique with the minimization of error analysis and evaluation regarding the recognition in terms of various performance metrics such as Accuracy, Precision, FPR, Specificity,Sensitivity, FNR, NPV, F1 Score and FDR.