🧠 A project that uses EEG data to classify human emotions using machine learning techniques.
The "EEG-Based Emotion Classifier" project is a groundbreaking application that leverages electroencephalography (EEG) data to detect and classify human emotions. In an era where understanding human emotions and mental states is of paramount importance, this project offers a novel and data-driven approach.
Emotions are complex and often difficult to interpret accurately. The EEG-Based Emotion Classifier seeks to bridge this gap by utilizing EEG signals, which are direct measures of brain activity. By collecting and analyzing EEG data, this project provides a way to decipher emotions with a level of precision that was once unimaginable.
- Emotion Classification: Classify human emotions, including happiness, sadness, anger, and more, based on EEG data.
- Machine Learning: Implement state-of-the-art machine learning algorithms to ensure accurate emotion classification.
- Real-time Analysis: Offer real-time analysis of EEG data to provide immediate feedback on emotional states.
- Versatile Applications: Extend the project's capabilities for various applications, such as mental health monitoring, user experience research, and gaming.
This open-source project is a step forward in emotion analysis and can serve as the foundation for numerous applications in fields like psychology, neuroscience, and human-computer interaction. Feel free to explore, contribute, and make use of the EEG-Based Emotion Classifier for your research and development needs.
To get started with the EEG-Based Emotion Classifier project, follow these simple installation steps:
Before you begin, ensure you have the following prerequisites installed on your system:
- Python (3.6 or higher)
- Jupyter Notebook (if running the project in a Jupyter environment)
- Required Python libraries (you can install these using
pip):
$ git clone https://github.com/MohammedAfthab18/EEG-Driven-Emotion-Detection-and-Classification.git
$ cd EEG-Driven-Emotion-Detection-and-Classification
$ pip install -r requirements.txt