A longitudinal EEG dataset of event-related potential

Electroencephalogram (EEG)-based biometric emerges as a promising authentication method, offering a novel insight into the future security systems. However, its long-term stability and inter-individual variability necessitate further exploration. This paper presents an event-related potential (ERP) dataset acquired through EEG recordings under rapid serial visual presentation stimulation. The dataset encompasses 200 days of ERP recordings from 15 participants, along with single-session observations from 52 individuals. During the experiment, participants were tasked with identifying a target face to elicit ERP responses. This dataset provides comprehensive and high-quality data for the development of EEG-based identity authentication systems. Additionally, the dataset holds research value for ERP investigation on facial perception and target detection.