Several analyses methods have been investigated to accurately detect the P300 component. The P300 is the most prominent component that can be observed in the Event Related Potentials in EEG signals. It can be elicited in the brain as a person's reaction to a salient stimulus. The P300 signal has been used in different application such as lie detection and Brain-Computer Interface. In such applications, it is crucial to select an appropriate analysis technique that provides the most accurate

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... sification for the data. In this paper, a method based on the shape of a typical P300 waveform is investigated to classify EEG data. The findings concluded that the shapebased weighted kernel provides more appropriate and accurate tool for detecting P300 in EEG-based lie detection.