Revisit: pattern recognition of Mu-rhythm using autoregressive and linier classifier

Author

Darmakusuma, Reza ; Prihatmanto, Ary S. ; Indrayanto, Adi ; Mengko, Tati L.

Author_Institution

Sch. of Electr. Enginering & Inf., Inst. Teknol. Bandung, Bandung, Indonesia

Volume

4

fYear

2014

Firstpage

1

Lastpage

5

Abstract

This paper describes the experiment of mu-rhythm application using BCI2000 and Emotiv. Experiment uses 1-D cursor task application as biofeedback. Autoregressive (AR) and Linier Classifier are used as pattern recognition algorithm in the system. In order to test the application, experiment uses 3 subjects for testing. As result, subjects can move the ball to the target with average accuracy about 76%. The purpose of this experimet is understanding the mu-rhythm brainwave in realtime application. Hence, this experiment can give overview about the brainwave by recognizing the characteristics of the mu-rhythm and knowing how to utilize this.

Keywords

autoregressive processes; pattern classification; 1D cursor task application; BCI2000; Emotiv; autoregressive classifier; biofeedback; linier classifier; mu-rhythm application; pattern recognition; Biological control systems; Brain-computer interfaces; Electrodes; Electroencephalography; Mathematical model; Rhythm; Training; BCI2000; Emotiv; Mu-rhythm; autoregressive; linier classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

System Engineering and Technology (ICSET), 2014 IEEE 4th International Conference on

Print_ISBN

978-1-4799-7188-6

Type

conf

DOI

10.1109/ICSEngT.2014.7111791

Filename

7111791