This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

Emotion prediction and application with neural networks.

In this project we analyzed several subjects belonging to the CK+ dataset in order to detect when a micro-expression occurred. We also analyzed the intra-class and inter-class differences between different emotions. Team: Emanuele Fittipaldi, Paolo Plomitallo, Università degli Studi di Salerno, Fisciano, Salerno, Italy.

Prediction of Facebook-user reactions to supermarkets using neural networks

A machine learning project focused on predicting emotions and generating context-aware responses based on given scenarios. The project utilizes NLP techniques and invites contributions to improve datasets, models, and real-world applicability.

In this project we analyzed several subjects belonging to the CK+ dataset in order to detect when a micro-expression occurred. We also analyzed the intra-class and inter-class differences between different emotions. Team: Emanuele Fittipaldi, Paolo Plomitallo, Università degli Studi di Salerno, Fisciano, Salerno, Italy.

The welab official wesite at Southwest University