Single Channel Brain-Computer Interface Control System Based on TGAM Module

被引：0
|
作者：
Zhang, Lu [1 ]
Lv, Qingsong [1 ]
Xu, Yishen [1 ]
机构：
[1] Soochow Univ, Coll Phys Optoelect & Energy, Suzhou 215006, Peoples R China
来源：
2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年
关键词：
EEG; BCI; TGAM; Arduino;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In order to overcome the limitations of manual control or speech recognition in traditional control mode, this paper designs a "mind control" system using single channel EEG signal extraction. This system is based on the brain-computer interface technology and the EEG signal extracted from the TGAM module is transmitted to the host computer through Bluetooth. After analyzing by the host computer, the attention value is obtained and then converted into the control command to run a car. The test shows that the average success rate of five students' controlling of car is 80.5%. This system can realize the "mind control" of a car by detecting the degree of users' attention.
引用
收藏
页数：5
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