Kalunga2016 – SSVEP Exo dataset

This dataset comprises steady-state visually evoked potential (SSVEP) recordings from 12 healthy subjects performing a brain-computer interface task using flickering LED stimuli at three frequencies (13, 17, and 21 Hz). Recorded using 8-channel EEG at 256 Hz with a g.tec MobiLab amplifier, the data was collected during subjects seated in an electric wheelchair as part of an assistive robotics application. The dataset includes 32 trials per subject with four classes (three stimulus frequencies plus a rest condition) and is designed for evaluating Riemannian geometry-based classification methods in online SSVEP-BCI systems.