An online top-down SSVEP-BMI for augmented reality

Ji Wan Kim, Maeng Nam Kim, Dong Hyeon Kang, Min Hee Ahn, Hyun Seok Kim, Byoung-Kyong Min

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Augmented reality (AR) technology using a head mounted display (HMD) is one of the fundamental tools in the next smart internet of things (IoT) society. Nowadays, portable brain-machine interfaces (BMIs) using an HMD have been studied for the future of BMI interlocked with the present IoT technology. In order to investigate the feasibility of the top-down SSVEP (steady-state visual evoked potential) BMI embedded in an HMD, SSVEP stimuli was presented in a HoloLens (Microsoft) for augmented reality (AR) constructed by holography. Electroencephalogram (EEG) was measured during the top-down SSVEP-based BMI performance, where a grid-shaped flickering visual stimulus was presented in the display of HoloLens. We examined its feasibility in a real-Time basis by its decoding accuracy. We found that the top-down SSVEP-BMI could be efficiently embedded in an AR-based HMD, and thus it can be applied for the AR-based device-control automation in an IoT space using EEG signals.

Original languageEnglish
Title of host publication7th International Winter Conference on Brain-Computer Interface, BCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681169
DOIs
Publication statusPublished - 2019 Feb 1
Event7th International Winter Conference on Brain-Computer Interface, BCI 2019 - Gangwon, Korea, Republic of
Duration: 2019 Feb 182019 Feb 20

Publication series

Name7th International Winter Conference on Brain-Computer Interface, BCI 2019

Conference

Conference7th International Winter Conference on Brain-Computer Interface, BCI 2019
CountryKorea, Republic of
CityGangwon
Period19/2/1819/2/20

Keywords

  • AR
  • Augmented Reality
  • BCI
  • BMI
  • EEG
  • HoloLens
  • SSVEP
  • top-down

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Signal Processing
  • Neuroscience (miscellaneous)

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  • Cite this

    Kim, J. W., Kim, M. N., Kang, D. H., Ahn, M. H., Kim, H. S., & Min, B-K. (2019). An online top-down SSVEP-BMI for augmented reality. In 7th International Winter Conference on Brain-Computer Interface, BCI 2019 [8737348] (7th International Winter Conference on Brain-Computer Interface, BCI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2019.8737348