Hardware enhance of brain computer interfaces

Jerry Wu; Harold Szu; Yuechen Chen; Ran Guo; Xixi Gu

doi:10.1117/12.2184654

2 June 2015 Hardware enhance of brain computer interfaces

Jerry Wu, Harold Szu, Yuechen Chen, Ran Guo, Xixi Gu

Proceedings Volume 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII; 94960T (2015) https://doi.org/10.1117/12.2184654
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

The history of brain–computer interfaces (BCIs) starts with Hans Berger's discovery of the electrical activity of the human brain and the development of electroencephalography (EEG). Recent years, BCI researches are focused on Invasive, Partially invasive, and Non-invasive BCI. Furthermore, EEG can be also applied to telepathic communication which could provide the basis for brain-based communication using imagined speech. It is possible to use EEG signals to discriminate the vowels and consonants embedded in spoken and in imagined words and apply to military product. In this report, we begin with an example of using high density EEG with high electrode density and analysis the results by using BCIs. The BCIs in this work is enhanced by A field-programmable gate array (FPGA) board with optimized two dimension (2D) image Fast Fourier Transform (FFT) analysis.

Citation Download Citation

Jerry Wu, Harold Szu, Yuechen Chen, Ran Guo, and Xixi Gu "Hardware enhance of brain computer interfaces", Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 94960T (2 June 2015); https://doi.org/10.1117/12.2184654

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