noewangjy/Emotion-Recognition-On-SEED
Souce code of assignment 2 for course CS7327 at SJTU
This project helps researchers and scientists working with brainwave data to automatically recognize human emotions. It takes raw or pre-processed EEG signals from multiple individuals and outputs predicted emotional states like happy, sad, or neutral. This tool is for neuroscientists, psychologists, and biomedical engineers analyzing brain activity to understand emotional responses.
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Use this if you need to build and evaluate machine learning models for emotion recognition using EEG data, especially when dealing with data from different subjects.
Not ideal if you are looking for a plug-and-play solution for real-time emotion detection without prior knowledge of machine learning or deep learning frameworks.
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Python
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Last pushed
Jun 21, 2022
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