2 Stages-region-based p300 speller in brain-computer ınterface

Zeki ORALHAN

Brain–computer interface (BCI) applications present communication model without using peripheral nerves and neuromuscular systems. The P300 waves are used in BCI applications. Signal classification accuracy is a significant parameter for P300 BCI application. In this study, our goal is to investigate P300 speller structure for higher classification accuracy. There are a lot studies about P300 speller variations of stimulus model. This models mostly includes about row–column-based visual or audio stimuli model P300 spellers. But there is not enough study about region-based P300 spellers. This s ...Daha fazlası

Makale/Derleme 2019 IETE Journal of Research 5 Görüntülenme

A new paradigm for region-based p300 speller in brain computer ınterface

Zeki ORALHAN

Electroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain computer interface systems. The most important performance parameter of a P300 based brain computer interface system is information transfer rate that is calculated by using classification accuracy and P300 signal detection time. Moreover, P300 speller has a very critical role for classification accuracy and information transfer rate in ...Daha fazlası

Makale/Derleme 2019 IEEE Access 8 Görüntülenme

Advanced SSVEP stimulator for brain-computer ınterface and signal classification with using convolutional neural network

Zeki ORALHAN

Steady-state visual evoked potential, type of electroencephalography (EEG) signal, that is used for brain–computer interface systems are considered in this Letter. Steady-state visual evoked potential stimulator is needed for realising the signal on the scalp. Besides, information transfer rate is the most significant parameter to evaluate overall performance of a brain–computer interface. EEG signal classification methods, task completion time, and signal stimulator structure affect information transfer rate values. In this Letter, the authors aimed to reach a high information transfer rate b ...Daha fazlası

Makale/Derleme 2019 Electronics Letter 4 Görüntülenme

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2 Stages-region-based p300 speller in brain-computer ınterface

Zeki ORALHAN

A new paradigm for region-based p300 speller in brain computer ınterface

Zeki ORALHAN

Advanced SSVEP stimulator for brain-computer ınterface and signal classification with using convolutional neural network

Zeki ORALHAN