Abstract:

This research explores advancements in emotion recognition through EEG signal analysis by focusing on the development of a comprehensive dataset and the design of an advanced AI based emotion identification model. A robust dataset was created, incorporating a diverse array of emotional stimuli including videos, images, and audio clips—paired with self-assessment forms to capture subjective emotional responses. High-quality EEG signals were recorded and meticulously pre-processed to ensure clarity and consistency.

Description:

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