yi-ding-cs/LGG
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
This tool helps researchers and neuroscientists analyze Electroencephalography (EEG) data to understand and classify brain states. You provide raw EEG recordings, and it outputs classifications for emotions like valence or preference, which are useful for Brain-Computer Interface (BCI) applications. It's designed for those working with neurophysiological data to build or evaluate BCI systems.
128 stars. No commits in the last 6 months.
Use this if you need to classify emotional states or preferences directly from raw EEG signals for Brain-Computer Interface research.
Not ideal if you require a commercial solution, as this tool is intended for non-commercial academic and research purposes.
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Python
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Last pushed
Sep 05, 2023
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