Vidhi1290/Deep-Learning-for-EEG-Emotion-Classification
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.
This tool helps neuroscientists and human-computer interaction researchers automatically identify emotional states from brainwave (EEG) data. You input a CSV file of pre-processed EEG features, and it outputs predictions of emotional categories like 'positive' or 'negative', along with visualizations and model performance metrics. It's designed for professionals working with brain-computer interfaces or mental state analysis.
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Use this if you need to classify emotions from EEG signals using deep learning and want comprehensive data insights, advanced preprocessing, and model evaluation.
Not ideal if you're looking for a tool to perform raw EEG signal processing or real-time emotion detection without prior feature extraction.
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Sep 04, 2023
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