Title :
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
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);
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7937-0
DOI :
10.1109/ISDA.2014.7066255
