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Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling

Publication ,  Conference
Zao, JK; Jung, TP; Chang, HM; Gan, TT; Wang, YT; Lin, YP; Liu, WH; Zheng, GY; Lin, CK; Lin, CH; Chien, YY; Lin, FC; Huang, YP; Méndez, SJR ...
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2016
Published version (DOI)

Head-mounted virtual reality and augmented reality displays (a.k.a. VR/AR goggles) created a revolutionary multimedia genre that is seeking ever-broadening applications and novel natural human interfaces. Adding neuromonitoring and neurofeedback to this genre is expected to introduce a new dimension to user interaction with the cyber-world. This study presents the development of a Neuromonitoring VR/AR Goggle armed with electroencephalo- gram and electrooculogram sensors, programmable milli-Ampere current stimulators and wireless fog/cloud computing support. Beside of its potential use in mitigating cybersickness, this device may have potential applications in augmented cognition ranging from feedback-controlled perceptual training to on-line learning and virtual social interactions. A prototype of the device has been made from a Samsung Gear VR for S6. This study explains its technical design to ensure precision data sampling, synchronous event marking, real-time signal processing and big data cloud computing support. This study also demonstrates the effective-ness in measuring the event-related potentials during a visual oddball experiment.

Duke Scholars

Felipe Medeiros
Author Felipe Medeiros Ophthalmology, Glaucoma

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/978-3-319-39955-3_12

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783319399546

Publication Date

January 1, 2016

Volume

9743

Start / End Page

121 / 131

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Zao, J. K., Jung, T. P., Chang, H. M., Gan, T. T., Wang, Y. T., Lin, Y. P., … Medeiros, F. A. (2016). Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9743, pp. 121–131). https://doi.org/10.1007/978-3-319-39955-3_12
Zao, J. K., T. P. Jung, H. M. Chang, T. T. Gan, Y. T. Wang, Y. P. Lin, W. H. Liu, et al. “Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9743:121–31, 2016. https://doi.org/10.1007/978-3-319-39955-3_12.
Zao JK, Jung TP, Chang HM, Gan TT, Wang YT, Lin YP, et al. Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 121–31.
Zao, J. K., et al. “Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9743, 2016, pp. 121–31. Scopus, doi:10.1007/978-3-319-39955-3_12.
Zao JK, Jung TP, Chang HM, Gan TT, Wang YT, Lin YP, Liu WH, Zheng GY, Lin CK, Lin CH, Chien YY, Lin FC, Huang YP, Méndez SJR, Medeiros FA. Augmenting VR/AR applications with EEG/EOG monitoring and oculo-vestibular recoupling. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. p. 121–131.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/978-3-319-39955-3_12

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783319399546

Publication Date

January 1, 2016

Volume

9743

Start / End Page

121 / 131

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences