Decoding Thoughts with Deep Learning: EEG-Based Digit Detection using CNNs

The muse dataset from the MindBigData EEG database is being used here for the training. The dataset being used contains 163,932 brain signals of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, from a single Test Subject David Vivancos. A small portion of the signals were captured without the stimulus of seeing the digits for contrast, all are random actions not related to thinking or seeing digits, they use the code -1.

It needs to be mentioned here that though the dataset contains 163,932 data points only 3000 data points were used for training the model with 1500 of them being digits and 1500 being non-digits.

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