Added new directory for EEG Emotion Analysis project

[Ahmad10Raza]

EEG Emotion Analysis Project Contribution

This pull request introduces the eeg_emotion_analysis_project, a comprehensive project focused on the analysis of emotions using EEG (Electroencephalography) data.

The project includes a dataset of EEG signals labeled with corresponding emotional states such as happiness, sadness, anger, and fear. The project provides an in-depth analysis of the EEG data using various features including:

• Time domain features (mean, standard deviation, peak-to-peak amplitude, root mean square)
• Frequency domain features (power spectral density, mean frequency, dominant frequency)
• Time-frequency domain features (Hjorth parameters, wavelet transform, short-time Fourier transform)
• Spatial domain features (Laplacian of the EEG signal, coherence between different electrodes)

This contribution aims to enhance the repository's resources for EEG emotion detection research, providing a valuable tool for training and evaluating machine learning algorithms for emotion recognition.

Please review and let me know if any changes are required.

[github-actions[bot]]

Our team will soon review your PR. Thanks @Ahmad10Raza :)

[abhisheks008]

Hi @Ahmad10Raza didn't get the contribution that you have made. As this repository requires machine learning projects along with the datasets, only dataset sharing will not work for contributions.