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Brain-Computer Interface using Directional Auditory Perception

Authors:

Yuto Koike,

Yuichi Hiroi,

Yuta Itoh,

Jun RekimotoAuthors Info & Claims

AHs '23: Proceedings of the Augmented Humans International Conference 2023

Pages 342 - 345

https://doi.org/10.1145/3582700.3583713

Published: 14 March 2023 Publication History

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Abstract

We investigate the potential of brain-computer interface (BCI) using electroencephalogram (EEG) induced by listening (or recalling) auditory stimuli of different directions. In the initial attempt, we apply a time series classification model based on deep learning to the EEG to demonstrate whether each EEG can be classified by recognizing binary (left or right) auditory directions. The results showed high classification accuracy when trained and tested on the same users. Discussion is provided to further explore this topic.

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Index Terms

Brain-Computer Interface using Directional Auditory Perception
1. Hardware
  1. Emerging technologies
    1. Biology-related information processing
    2. Emerging interfaces

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Published In

AHs '23: Proceedings of the Augmented Humans International Conference 2023

March 2023

395 pages

ISBN:9781450399845

DOI:10.1145/3582700

General Chairs:
Jamie A. Ward
Goldsmiths, University of London, United Kingdom
,
Mark McGill
University of Glasgow, United Kingdom
,
Karola Marky
Ruhr-University Bochum, Germany

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2023

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Refereed limited

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The University of Tokyo Human Augmentation Research Initiative
JST CREST
JST Moonshot R&D

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AHs '23

AHs '23: Augmented Humans Conference

March 12 - 14, 2023

Glasgow, United Kingdom

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Abstract

References

Index Terms

Recommendations

Brain-Hack: Remotely Injecting False Brain-Waves with RF to Take Control of a Brain-Computer Interface

Brain-Computer Interfacing for Intelligent Systems

Brain-computer interface research at Katholieke Universiteit Leuven

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