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An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neutral and negative. It uses SEED dataset which consist of EEG signal of 15 person with 15 trial in each session. It is an implementation of paper 'EEG-based emotion recognition using simple recurrent units netwo…

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EEG-Emotion-Recognition-SRU-model-

An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neutral and negative. It uses SEED dataset which consist of EEG signal of 15 person with 15 trial in each session. It is an implementation of paper 'EEG-based emotion recognition using simple recurrent units network and ensemble learning'.

https://www.sciencedirect.com/science/article/abs/pii/S1746809419303374

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An EEG-based emotion recognition system using Simple Recurrent Units(SRU) in Pytorch library. It identifies three emotions: positive, neutral and negative. It uses SEED dataset which consist of EEG signal of 15 person with 15 trial in each session. It is an implementation of paper 'EEG-based emotion recognition using simple recurrent units netwo…

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