Emotion Recognition from Physiological Signals (GameEMO Dataset)

This project aims to explore and build models for emotion recognition using physiological signals (ECG, EDA, EMG) from the GameEMO dataset.

Project Structure

├── data/                 # Raw and processed data (Not tracked by Git)
│   └── GAMEEMO/          # Extracted dataset files
├── notebooks/            # Jupyter notebooks for exploration, analysis, and modeling
├── .gitignore            # Specifies intentionally untracked files that Git should ignore
├── LICENSE               # Project license information
├── README.md             # This file
└── requirements.txt      # Python package dependencies

Setup

1. Clone the repository:

   git clone https://github.com/dromaniv/emotion-recognition.git
   cd emotion-recognition

2. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

Usage

• Run Jupyter Lab:

  jupyter lab

• Open and run the notebooks (e.g., cnn_lstm.ipynb) to explore the data and model development process.