Literature DB >> 24110925

Developing stimulus presentation on mobile devices for a truly portable SSVEP-based BCI.

Yu-Te Wang, Yijun Wang, Chung-Kuan Cheng, Tzyy-Ping Jung.   

Abstract

This study integrates visual stimulus presentation and near real-time data processing on a mobile device (e.g. a Tablet or a cell-phone) to implement a steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI). The goal of this study is to increase the practicability, portability and ubiquity of an SSVEP-based BCI for daily use. The accuracy of flickering frequencies on the mobile SSVEP BCI system was tested against that on a laptop/desktop used in our previous studies. This study then analyzed the power spectrum density of the electroencephalogram signals elicited by the visual stimuli rendered on the mobile BCIs. Finally, this study performed an online test with the Tablet-based BCI system and obtained an averaged information transfer rate of 33.87 bits/min in three subjects. The current integration leads to a truly practical and ubiquitous SSVEP BCI on mobile devices for real-life applications.

Mesh:

Year:  2013        PMID: 24110925     DOI: 10.1109/EMBC.2013.6610738

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

Review 1.  Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.

Authors:  Alex Lau-Zhu; Michael P H Lau; Gráinne McLoughlin
Journal:  Dev Cogn Neurosci       Date:  2019-03-08       Impact factor: 6.464

2.  Generating visual flickers for eliciting robust steady-state visual evoked potentials at flexible frequencies using monitor refresh rate.

Authors:  Masaki Nakanishi; Yijun Wang; Yu-Te Wang; Yasue Mitsukura; Tzyy-Ping Jung
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

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

Authors:  Hendrik Wöhrle; Marc Tabie; Su Kyoung Kim; Frank Kirchner; Elsa Andrea Kirchner
Journal:  Sensors (Basel)       Date:  2017-07-03       Impact factor: 3.576

4.  EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.

Authors:  Sarah Blum; Stefan Debener; Reiner Emkes; Nils Volkening; Sebastian Fudickar; Martin G Bleichner
Journal:  Biomed Res Int       Date:  2017-11-16       Impact factor: 3.411

  4 in total

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