Algorithm 1 A pseudo-code for extracting features and classifying the target and non-target.

Algorithm Feature Extraction and Classification

Inputs: ERP Dataset

Outputs: SVM model or target stimulus T

Step1: Amplitude values from 150 to 600 ms after the stimulus onset in the ERP dataset were picked. Step2: Concatenate Picked samples for every electrode resulting in input data $\mathit{D}$, where $\mathit{D}\in {ℝ}^{N_d\times N_f}.$ Step3: If training session, train linear SVM with input $\mathit{D}$ and corresponding labels, and return SVM model, Else, implement SVM classification with input $\mathit{D}$ and return target stimulus $T$ given by Equation (2).