GitHub - olumideodetunde/Emotion-Recognition: This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device

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This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device

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Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
Data Preprocessing (OOP).ipynb		Data Preprocessing (OOP).ipynb
DataAnnotationForm.py		DataAnnotationForm.py
Dataset_creation.ipynb		Dataset_creation.ipynb
SIgnal Data Preprocessing.ipynb		SIgnal Data Preprocessing.ipynb
Statistical Analysis.ipynb		Statistical Analysis.ipynb

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This project uses physiological signals from participants and a self report data annotation to classify emotions of participants using signals obtained from a wrist-worn smart device

deep-learning dataannotations emotion-detection emotion-recognition emotion-classification machinelearning-python