Eye Movement Classification using Feature Engineering and Ensemble Machine Learning
Hassanein Riyadh Mahmood,
Dhurgham Kareem Gharkan,
Ghusoon Ismail Jamil
et al.
Abstract:This paper explores the classification of gaze direction using electrooculography (EOG) signals, integrating signal processing, deep learning, and ensemble learning techniques to enhance accuracy and reliability. A complex technique is proposed in which several feature types are derived from EOG data. Spectral properties generated from power spectral density analysis augment basic statistical characteristics such as mean and standard deviation, revealing the frequency content of the signal. Skewness, kurtosis,… Show more
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