Public Models considered for emotion estimation from EEG

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Deep Learning Emotion-EEG
Overview

Emotion-EEG

Set of models for emotion estimation from EEG. Composed by the combination of two deep-learing models learning together (RNN and CNN) with the help of a saliency analysis.

alt text

Instruction

The three proposed models are direcly available here:

Installation and Dependencies

Pytorch 1.5

MNE

Cuda 10.1

Installation with pip: pip install -r req.txt

Import of the environment with conda: conda env create -f env.yml

Remarks

Due to the EULA for each dataset, some example signals have been proposed to test the models, however, they are not corresponding to signals from one of tested dataset.

If you are interested in our work, don't hesitate to contact us.

Best! 😄

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Comments
  • Runtime error on DEAP Dataset

    Runtime error on DEAP Dataset

    Hi,

    I've tried to run the Sal_model.py on DEAP, but apart from fixing the number of output units of the classifier (using 4 for the valence/arousal quadrants) I can't get it to work because of an error:

    RuntimeError: shape '[168, 5, 1, -1]' is invalid for input of size 43352064 The size is the product of 8064x32x168 (at least that's what it seems), of time samples x channels x (batch_size=128 + 40?)

    The line is the following: https://github.com/numediart/Emotion-EEG/blob/master/Models_DEAP.py#L530

    Also I implemented the feature generation part myself, as it was incomplete (only the sensor locations code conversion is in the repo), by using "mne.time_frequency.psd_array_welch" and then averaging the power values of 5 frequency bins that are mentioned in the DEAP paper (for a total of 5 image channels which should be correct).

    Best Regards.

    opened by ale-pavel 0
  • about the code

    about the code

    I used your code to run, but it reported an error, it shows such an error in the classifier section： “”RuntimeError: Given groups=1, weight of size [32, 5, 3, 3], expected input[144, 3, 32, 32] to have 5 channels, but got 3 channels instead“” please reply me if you see it, thank you

    opened by lwlBCI 4
Owner
Victor Delvigne
PhD candidate at @numediart. My research project focuses on the used of innovative technologies in the context of biomedical signal processing.
Victor Delvigne
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