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i'm very impressed about ur project , i'm doing my finaal year project eeg based emotion recognistion system ,i dont know hoe to access the deep dataset , could you please help me and guide me how yo…
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Thank you so much for releasing all of this great data. I am woking with some of the imaging data and I found 8 columns in the NDA hosted release of the DEAP datasets that appear to have the NDA varia…
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In deap.py,
in process_record
pkl_data = pkl.load(f, encoding='iso-8859-1')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_pickle.UnpicklingError: invalid load key, '\x00'.
This error is…
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During the MultilayerPerceptron.py execution of the code, execution was interrupted. Problem could be buffer related, please try to resolve as soon as possible.
> --model_21.csv
2018-08-28 19:44:2…
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Is there anybody reproduced the accuracy of ARJUN et al’S VIT on DEAP datasets?
In the related paper of "Introducing attention mechanism for EEG signals: Emotion recognition with vision transformer…
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Hi @ycimtay !
How can I use your source code with SEED & DEAP dataset? Since those datasets are in .mat format, do I need to do any pre-processing step?
Thank you very much!
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I used Husformer to test it on the WESAD dataset and got the final result (Acc: 91.02%, F1: 87.38%). The results of this test are much higher than those tested on the WESAD dataset in the paper (Acc: …
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I have benn apply for the DEAP dataset a few day before. But I did not get any reply. I wish you cloud share the Dataset in this project. You could contact me with e-mail address buwang1947@live.com. …
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For example, for DEAP dataset, I need not only EEG data but also GSR data to achieve multi-modal fusion, is there anyway to obtain both EEG and GSR signal through torcheeg?