Title :
Improving the effectiveness of common spatial pattern features at brain computer interface applications
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Turkey
Abstract :
The studies in brain computer interface field generally deal with about either improving the performance of their works or investigating new applications. In this study, it is aimed to improve the effectiveness of common spatial pattern features by determining the optimum duration of electroencephalogram based brain computer interface trials. With the proposed method it is shown that the classification accuracies are increased in between 20.62% and 4.83%, and the determination time are accelerated by decreasing the trial durations.
Keywords :
brain-computer interfaces; computer interfaces; electroencephalography; brain computer interface applications; electroencephalogram; spatial pattern features; Acceleration; Accuracy; Art; Brain-computer interfaces; Electroencephalography; Mutual information; Pattern recognition; EEG; brain computer interface; common spatial pattern; increasing classification accuracy; the best trial duration;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129831