INVESTIGATING GENDER VARIATIONS IN DREAM EMOTION PREDICTION USING EEG SIGNAL AND RANDOM FOREST ALGORITHM

Abstract

Dreams offer a unique insight into the subconscious emotional and psychological states of
individuals. While EEG-based emotion recognition has been explored in various contexts, the
gender differences in dream emotion classification remain largely unexplored. This study
investigates the prediction of dream emotions (Positive, Negative, Neutral) from EEG signals
using the Random Forest algorithm, with a focus on gender-based distinctions [1].