A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network

摘要: A non-invasive Brain Computer Interface (BCI) based on a Convolutional Neural Network (CNN) is presented as novel approach for navigation in Virtual Environment (VE). The developed control interface relies Steady State Visually Evoked Potentials (SSVEP), whose features are discriminated real time the electroencephalographic (EEG) data by means of CNN. proposed has been evaluated through walking an immersive and plausible virtual environment (VE), thus enhancing involvement participant his perception VE. Results show that BCI CNN can be profitably applied decoding SSVEP scenarios, where reduced number commands needs to reliably rapidly selected. was able accomplish waypoint task within VE, controlling only brain activity.