On-Board brain-computer interface based on the recognition of patterns of brain activity through a convolutional neural network

摘要

This paper presents the prototype of brain-computer interface (BCI), designed to control on-board systems. BCI functions of the basis of an artificial convolutional neural network that recognizes the patterns of activity of the human brain. The device is characterized by a high-precision classifier of brain activity patterns, as well as high quality and stability of recording brain activity signals. The results of the recognition quality obtained during the experiment are presented.