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This document presents a comprehensive dataset combining EEG signals, eye-tracking, and high-speed video recordings to analyze ocular activity in Brain-Computer Interface (BCI) research. The dataset includes over 46 hours of data from 31 subjects across various BCI paradigms, aiming to enhance understanding of eye-related movements and their impact on neural signal interpretation. By addressing the challenges posed by ocular artifacts, this dataset is expected to facilitate the development of more robust BC

Author

Rutilio Nava

Language

EN