A steady-state visually evoked potential dataset binocular-coded using augmented reality headset and recorded using portable EEG hardware (segmented pre-processed data)

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) with high transfer rate have demonstrated great promise for practical applications. Existing researches have implemented augmented reality (AR)-based SSVEP-BCIs with single- or dual-frequency stimulation. However, few studies have discussed the stimulation parameters setting of portable stimulation devices systematically. This dataset aims to facilitate the study of single/dual-frequency AR-SSVEP-BCI by making SSVEP signals collected with different stimulation settings publicly available. In this dataset, the stimulation parameters were set with three differences: (1) frequency range, (2) frequency and phase, and (3) different frequency. SSVEPs were collected from 14, 14, and 17 participants through the experiment by single-, dual-frequency stimuli and different variants of frequency and phase.If you use this dataset for a publication, please cite our corresponding research paper: "A steady-state visually evoked potential dataset binocular-coded using augmented reality headset and recorded using portable EEG hardware".