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.
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页数：4
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