A study to implement a Brain-Computer Interface (BCI) based on Sensorimotor Rhythms

被引：0
|
作者：
dos Santos, Israel Schimitz [1 ]
Spindola, Marilda M. [1 ]
机构：
[1] Univ Caxias Sul, Lab Biosignals CARVI, Bento Goncalves, Brazil
来源：
2015 IEEE 6TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS & SYSTEMS (LASCAS) | 2015年
关键词：
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 academic article describes an offline research aiming to implement a Brain-Computer Interface (BCI) system based on the manipulation of Sensorimotor Rhythms (SMR) acquired from the Electroencephalograph (EEG). The specific frequencies for each volunteer were found with the analysis of the Distinction-Sensitive Learning Vector Quantization (DSLVQ) algorithm. Extracting features was performed using the Power Samples method whereas the pattern recognition with the Linear Discriminant Analysis (LDA) classification. The results reached 100% correct for a databank (DataSet I) already validated and 80% correct for the voluntary of this research (PAT14).
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页数：4
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