Literature DB >> 23853320

Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System.

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Abstract

This paper proposes a low-cost field-programmable gate-array (FPGA)-based brain-computer interface (BCI) multimedia control system, different from the BCI system, which uses bulky and expensive electroencephalography (EEG) measurement equipment, personal computer, and commercial real-time signal-processing software. The proposed system combines a customized stimulation panel, a brainwave-acquisition circuit, and an FPGA-based real-time signal processor and allows users to use their brainwave to communicate with or control multimedia devices by themselves. This study also designs a light-emitting diode stimulation panel instead of cathode ray tube or liquid-crystal display used in existing studies, to induce a stronger steady-state visual evoked potential (SSVEP), a kind of EEG, used as the input signal of the proposed BCI system. Implementing a prototype of the SSVEP-based BCI multimedia control system verifies the effectiveness of the proposed system. Experimental results show that the subjects' SSVEP can successfully control the multimedia device through the proposed BCI system with high identification accuracy.

Year:  2010        PMID: 23853320     DOI: 10.1109/TBCAS.2010.2042595

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  8 in total

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Journal:  Med Biol Eng Comput       Date:  2016-06-15       Impact factor: 2.602

2.  Design of a mobile brain computer interface-based smart multimedia controller.

Authors:  Kevin C Tseng; Bor-Shing Lin; Alice May-Kuen Wong; Bor-Shyh Lin
Journal:  Sensors (Basel)       Date:  2015-03-06       Impact factor: 3.576

3.  EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN.

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4.  Evaluating the Influence of Chromatic and Luminance Stimuli on SSVEPs from Behind-the-Ears and Occipital Areas.

Authors:  Alan Floriano; Pablo F Diez; Teodiano Freire Bastos-Filho
Journal:  Sensors (Basel)       Date:  2018-02-17       Impact factor: 3.576

5.  An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals.

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Review 6.  Embedded Brain Computer Interface: State-of-the-Art in Research.

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Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

7.  A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.

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Journal:  Sensors (Basel)       Date:  2017-07-03       Impact factor: 3.576

Review 8.  The combination of brain-computer interfaces and artificial intelligence: applications and challenges.

Authors:  Xiayin Zhang; Ziyue Ma; Huaijin Zheng; Tongkeng Li; Kexin Chen; Xun Wang; Chenting Liu; Linxi Xu; Xiaohang Wu; Duoru Lin; Haotian Lin
Journal:  Ann Transl Med       Date:  2020-06
  8 in total

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