Design of a BCI Controlled Serious Game for Concentration Training

被引：0

作者：

Garcia-Agundez, Augusto ^{[1
]}

Dobermann, Eduard ^{[1
]}

Gobel, Stefan ^{[1
]}

机构：

[1] Tech Univ, Multimedia Commun Lab, Darmstadt, Germany

来源：

SERIOUS GAMES, JCSG 2018 | 2018年 / 11243卷

关键词：

BCI; Serious Games; Concentration; Games for health; EEG; FEATURE-EXTRACTION; WAVELET TRANSFORM; CLASSIFICATION;

D O I：

10.1007/978-3-030-02762-9_17

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The goal of this work is to design a BCI that can then be used to control a serious game for concentration training. A 32-Electrode cap system was used, in addition to a bandpass and notch filter, t-SNE dimension reduction, standard deviation outlier detection as well as a SVM classifier. A maximum classification accuracy of 80% was achieved when using a four class classification system. Our BCI-Controlled Serious Game is viable and we thus plan to evaluate our application in a pilot test.

引用

页码：169 / 174

页数：6

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