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

被引：0

作者：

Makhrov, Stanislav S. ^{[1
]}

Denisova, Elena N. ^{[2
]}

机构：

[1] Moscow Tech Univ Commun & Informat, Sci Res Dept, Moscow, Russia

[2] Moscow Tech Univ Commun & Informat, Informat Technol Dept, Moscow, Russia

来源：

2018 SYSTEMS OF SIGNALS GENERATING AND PROCESSING IN THE FIELD OF ON BOARD COMMUNICATIONS | 2018年

关键词：

brain-computer interface; neural interface; board control; convolutional neural network; brain activity;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页数：4