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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vidhi1290%2FDeep-Learning-for-EEG-Emotion-Classification
PURL: pkg:github/Vidhi1290/Deep-Learning-for-EEG-Emotion-Classification

Stars: 17
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 1.79 MB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: 4 months ago
Pushed at: almost 2 years ago
Last synced at: 3 months ago

Topics: coorelation, data-exploration, data-preprocessing, data-science, data-visualization, deep-learning, deep-learning-algorithms, eeg-emotion-recognition, egg-signals, emotion-distribution, emotion-prediction, feature-analysis, heatmap, human-emotions, machine-learning, machine-learning-algorithms, pie-chart, spectral-analysis, time-series-visualization

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