Systems and methods for wavelet based head movement artifact removal from electrooculography (EOG) signals. The traditional systems and methods provide signal filtering but do not focus on head movement artifacts filtering from the EOG signals which leads to inaccuracy and misclassification. The method includes acquiring the EOG signals of a user, filtering, the acquired EOG signals, smoothening the filtered EOG signals, removing redundant patterns and DC drifts from the smoothened EOG signals to obtain a second set of filtered EOG signals and applying, a discrete wavelet transform, on the second set of filtered EOG signals to filter head movement artifacts. In addition, applying the discrete wavelet transform on the second set of filtered EOG signals comprises applying on the second set of filtered EOG signals, a mother wavelet transform to obtain a set of wavelets and decomposing the set of wavelets obtained to filter a plurality of head movement noise from the second set of filtered EOG signals.
