Residing on a standard approach of transforming EEG data– Database for Emotion Analysis of Physiological Signals (DEAP)– into 2D images using Short-Time Fourier Transform (STFT) EEG signals for ...

This repository contains a deep learning model for real-time emotion recognition using the FER-2013 dataset. The model is trained using a convolutional neural network (CNN) and can classify emotions ...

This project is an implementation of facial emotion recognition using convolutional neural networks. It is capable of detecting and categorizing facial emotions into the following categories: ...

Simplified 2D CNN Architecture With Channel Selection for Emotion Recognition Using EEG Spectrogram Abstract: Emotion Recognition through electroencephalography (EEG) is one of the prevailing emotion ...

The aim of this task was to evaluate subjects’ emotion identification ability without verbal labeling, independent of face identification. Two faces of different people with the same or different ...

Researchers are now able to decode emotional facial expressions with impressive accuracy in standardized images of prototypical basic emotions. We tested the sensitivity of a well-established ...