The "xBCI" Platform: Development and Application to Online BCI System
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- Susila I Putu
- Graduate School of Engineering, Tohoku University
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- Kanoh Shin'ichiro
- Graduate School of Engineering, Tohoku University
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- Miyamoto Ko-ichiro
- Graduate School of Engineering, Tohoku University
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- Yoshinobu Tatsuo
- Graduate School of Engineering, Tohoku University
抄録
An easy-to-use generic platform for realizing online brain-computer interface (BCI) named xBCI developed by authors is introduced and described. The platform consists of several functional components such as data acquisition, storage, mathematical operation, signal processing, network communication, data visualization, and feedback presentation. Users can build their own BCI system easily by combining components on GUI-based diagram editor. The platform works on multiple operating systems, and supports parallel (multi-thread) data processing and data transfer to other PCs through network(UDP). In this paper, the performance of the platform was evaluated, and then two types of online BCI systems which were built on this platform are introduced. First, a "Brain Switch" system which detects motor imagery through the changes in band power of electroencephalography (EEG) was built. The system consisted of components for acquisition of EEG signals, band power extraction, feedback (a white bar of which length was proportional to band power) presented to subject, data transfer through network, and data visualization. The second system is a steady-state evoked potential (SSVEP)-based BCI system. On this system, subject was instructed to gaze at LEDs flickering at different frequencies. EEGs were recorded and discrete Fourier transform (DFT) calculation was performed to extract frequency components at flickering frequencies and their harmonics. Both systems were built easily using the components available on the platform. On-line experiments were conducted to verify the usefulness of the platform.
収録刊行物
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- SCIS & ISIS
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SCIS & ISIS 2008 (0), 460-465, 2008
日本知能情報ファジィ学会
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詳細情報 詳細情報について
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- CRID
- 1390282680567737856
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- NII論文ID
- 130004672963
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可