A standard four-layer MLP trained end-to-end on raw EEG+fNIRS+MoCap data reports at least 90% test accuracy for five-class activity recognition on ten subjects.
Near infrared spectroscopy (nirs): a new tool to study hemodynamic changes during activation of brain function in human adults
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An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing
A standard four-layer MLP trained end-to-end on raw EEG+fNIRS+MoCap data reports at least 90% test accuracy for five-class activity recognition on ten subjects.