EEG Brain Wave for Confusion Dataset of Frontal Lobe Fluctuations

The EEG Brain Wave for Confusion Dataset is a dataset of frontal lobe fluctuations when students watch videos, aiming to determine whether the brain is in a confused state.

The publisher collected EEG signal data from 10 college students watching MOOC video clips, including online education videos that would not confuse students and videos that might confuse them. During the test, students wore a wireless MindSet to measure frontal lobe activity while watching the edited videos. After the course, students rated the confusion level from 1 to 7, with 1 corresponding to the least confusing and 7 corresponding to the most confusing.

These labels were further standardized to indicate whether the student was confused or not, including self-labeled confusion markers in addition to the predetermined labels.

The data was released by Kaggle in 2013, and the related paper is "Using EEG to Improve Massive Open Online Courses Feedback Interaction".