EEG-Based Emotion Detection Using Prefrontal Cortex Activity: A Hybrid CNN–LSTM Model
This paper presents an innovative method for recognizing emotion from EEG data from the left hemisphere of the prefrontal cortex. A hybrid deep learning model using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) is proposed. The DEAP dataset and custom dataset (MindData) used in this paper contai...