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Towards in SSVEP-BCI Systems for Assistance in Decision-Making

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Proceedings of the Future Technologies Conference (FTC) 2018 (FTC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 880))

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Abstract

In recent years, Brain Computer-Interfaces (BCI) has a major focus on systems out of clinical scope. These systems have been used to control electrical and electronic equipment, control of digital games and other kinds of “control”. Such control can be accomplished through decision-making by a BCI system. A paradigm known for this purpose is SSVEP (system based on steady-state visually evoked potential paradigm), in which it is possible to distinguish targets with different frequency flicker through visual evocations. This paper proposes a human-computer interaction system using SSVEP for assistance in decision-making. In particular, the work describes a prototype of traffic lights proposed as a case study. The experiments with this prototype, have created decision-making situations, allowing the SSVEP-BCI system assists the individual to decide correctly.

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Notes

  1. 1.

    http://martinos.org/mne.

  2. 2.

    http://scikit-learn.org.

  3. 3.

    http://www.setzner.com/avi-ssvep-dataset/.

  4. 4.

    https://www.arduino.cc/.

  5. 5.

    http://openbci.com.

  6. 6.

    https://github.com/OpenBCI/Ultracortex/tree/master/Mark_3.

  7. 7.

    https://github.com/OpenBCI/OpenBCI_GUI.

  8. 8.

    https://github.com/sccn/labstreaminglayer.

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Acknowledgment

We would like to thank CNPq (Brazilian Council for Scientific and Technological Development) scholarship Brazil (311685/2017-0).

Author information

Authors and Affiliations

  1. Computer Department, Computer Interfaces Research Group, Federal University of Technology - Paraná, Campo Mourão, Paraná, 87301–899, Brazil

    Rodrigo Hübner

  2. Manna Research Group, State University of Maringá, Maringá, Paraná, 87020–900, Brazil

    Linnyer Beatryz Ruiz Aylon

  3. School of Electrical and Computer Engineering, Intelligent Systems and Control Laboratory, State University of Campinas, Campinas, São Paulo, 13083–970, Brazil

    Rodrigo Hübner & Gilmar Barreto

Authors
  1. Rodrigo Hübner
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  2. Linnyer Beatryz Ruiz Aylon
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  3. Gilmar Barreto
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Corresponding author

Correspondence to Rodrigo Hübner .

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Editors and Affiliations

  1. Saga University , Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

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Hübner, R., Aylon, L.B.R., Barreto, G. (2019). Towards in SSVEP-BCI Systems for Assistance in Decision-Making. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_1

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