Prediction for Upper Limb Motion based on Brain Signal Analysis

This study designed deep neural networks which extract spatio-temporal features in EEG. Our network predicts the probability of each task about an input, represented with a bar graph in this demo. In our experiments, our spatio-temporal network made good achievements for motor imagery related EEG classification and also gave a neurophysiological insight to spatial patterns.

Contact:?B.-C. Kim (