An optimum allocation based approach is proposed for detecting mental EEG signals.

The mechanism considers variability of observations within a time-window.

Naive Bayes learning based process is employed to classify the OA based features.

The proposed approach outperforms the most recently reported five methods.

This method achieves 0.64–20.90% improvement on overall accuracy.