EEG Dataset Collected During Energy Data Visualization Stimuli Presentation (EDAVIS)

Through the use of a self-assessment manikin (SAM), participants rate the valence and arousal of each stimulus to determine their affective state for that stimulus. Additionally, three questions are asked for each stimulus. The dataset includes original data visualizations and ratings.

To facilitate analysis, the raw EEG data is segmented into data visualizations and neutral images using event markers. Using the EMOTIVPro application, EEG recordings are directly saved, and the PsychoPy application is used to store subjective responses. Artificial EEG data is also produced using Generative Adversarial Networks (GANs) for the enhancement of data size and classification performances.

This dataset suggests a novel application of EEG research and offers a helpful starting point for researchers in the fields of computer science, energy efficiency, artificial intelligence, brain-computer interfaces, and human-computer interaction.