Toward a control of a mouse pointer: EEG Analysis for feature extraction

Author

Shimogasa, Tomoi ; Higa, Hiroki

Author_Institution

Fac. of Eng., Univ. of the Ryukyus, Okinawa, Japan

fYear

2014

Firstpage

151

Lastpage

155

Abstract

In this study, event-related potential (ERP) components of P300 and N100, and an artificial neural network (ANN) were used to classify the electroencephalogram (EEG) signals which are generated by the brain. A visual stimulus flicker program was also made to elicit ERP responses as an oddball paradigm. We measured ERP responses using the stimulus flicker, performed calculations of the ERP components (P300 and N100), and classified the ERP data using the learned ANN. The experimental results showed that we could obtain more than 95 % of rates of the correctly classified direction for trigger signals of upward, downward, leftward, and rightward movements of a mouse device.

Keywords

brain-computer interfaces; electroencephalography; feature extraction; handicapped aids; medical signal processing; mouse controllers (computers); neural nets; signal classification; ANN; EEG analysis; ERP components; ERP responses; N100; P300; artificial neural network; brain; electroencephalogram signal classification; event-related potential components; feature extraction; mouse pointer control; oddball paradigm; visual stimulus flicker program; Electroencephalography; Visualization; P300; artificial neural network (ANN); electroencephalogram (EEG) signal; event-related potential (ERP);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on

Print_ISBN

978-1-4799-7937-0

Type

conf

DOI

10.1109/ISDA.2014.7066255

Filename

7066255