Emotion_detection

It is a project for emotion detection with EEG and ECG signals. Different signals are processed, including feature extraction and normalization, in EEG.py and ECG.py respectively and saved as EEG.csv and ECG.csv. After that features are fused in Datafusion.py and saved as feature.csv. With grid searching, proper model's parameters are selected in model.py. The data is aquired from the DREAMER A Database for Emotion RecognitionThrough EEG and ECG Signals From Wireless Low-cost Off the-Shelf Devices note.pdf.