Preliminary Comparative Experiments of Support Vector Machine and Neural Network for EEG-based BCI Mobile Robot Control

被引：0

作者：

Bandou, Yasushi ^{[1
]}

Hayakawa, Takuya ^{[1
]}

Kobayashi, Jun ^{[1
]}

机构：

[1] Kyushu Inst Technol, Dept Syst Design & Informat, Iizuka, Fukuoka 8208502, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2019年 / 5卷 / 04期

关键词：

Brain computer interface; electroencephalography; support vector machine; neural network; mobile robot control;

D O I：

10.2991/jrnal.k.190220.014

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Here we present experimental results of Electroencephalogram (EEG)-based Brain Computer Interface (BCI) for mobile robot control by means of Support Vector Machine (SVM) and Neural Network (NN). The authors had trained NNs using EEGs collected from subjects and verified the performance as BCI; however, the results were unsatisfactory for practical use. In this study, we have used SVM with Radial Basis Function (RBF) kernel function for further improvement and compared the performance with the NNs. Consequently, the SVMs outperformed the NNs in almost all cases. (C) 2019 The Authors. Published by Atlantis Press SARL.

引用

页码：269 / 272

页数：4

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