MindData for Enhanced Entertainment: Building a Comprehensive EEG Dataset of Emotional Responses to Audio-Visual Stimuli

We present data from Electroencephalograph signals that can be used to analyse audio-visual stimuli for emotion recognition. A successful attempt towards recording of EEG signals of 46 subjects is made using portable Biopic 2 channel EEG device and a self-rating scale. Two different kinds of experiments were exposed to subjects, included with commercial advertisements and musical clips from South-Indian-Kannada language, that recorded a range of emotional reactions (Relaxed, Sad, Scary, Funny, Enjoyment). In our data repository, Labeled preprocessed EEG data is stored in CSV format. Our goal in this endeavor is to establish an emotion dataset based on entertainment, providing an efficient approach for collecting brain signal data. Finally, in order to evaluate the suitability of our dataset, we ran statistical implementation like frequency time analysis on the data that had been recorded. With this analysis, we further categorized the EEG signals into segments linked to both positive and negative emotions across the two experiments. Since the data will be made publicly accessible, interested can use it for research/educative purpose with suitable acknowledgements.