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EasyEG: A 3D-printable Brain-Computer Interface

Authors:

Stefan SchneegassAuthors Info & Claims

UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

Pages 70 - 72

https://doi.org/10.1145/3379350.3416189

Published: 20 October 2020 Publication History

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Abstract

Brain-Computer Interfaces (BCIs) are progressively adopted by the consumer market, making them available for a variety of use-cases. However, off-the-shelf BCIs are limited in their adjustments towards individual head shapes, evaluation of scalp-electrode contact, and extension through additional sensors. This work presents EasyEG, a BCI headset that is adaptable to individual head shapes and offers adjustable electrode-scalp contact to improve measuring quality. EasyEG consists of 3D-printed and low-cost components that can be extended by additional sensing hardware, hence expanding the application domain of current BCIs. We conclude with use-cases that demonstrate the potentials of our EasyEG headset.

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Cited By

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Bernardi LHaeublein OZapata D(2024)Design and Development of a 3D Printed Electrode Headset for Affordable and Reliable ElectroencephalographyAdvances in Bioengineering and Clinical Engineering10.1007/978-3-031-61973-1_17(159-168)Online publication date: 8-Jun-2024
https://doi.org/10.1007/978-3-031-61973-1_17
Auda JGruenefeld UKosch TSchneegass S(2022)The Butterfly Effect: Novel Opportunities for Steady-State Visually-Evoked Potential Stimuli in Virtual RealityProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519397(254-266)Online publication date: 13-Mar-2022
https://dl.acm.org/doi/10.1145/3519391.3519397

Index Terms

EasyEG: A 3D-printable Brain-Computer Interface
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices

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Information & Contributors

Information

Published In

UIST '20 Adjunct: Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

October 2020

203 pages

ISBN:9781450375153

DOI:10.1145/3379350

General Chairs:
Shamsi Iqbal
Microsoft Research, USA
,
Karon MacLean
University of British Columbia, Canada
,
Program Chairs:
Fanny Chevalier
University of Toronto, Canada
,
Stefanie Mueller
MIT CSAIL, USA

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: 20 October 2020

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UIST '20

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UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology

October 20 - 23, 2020

Virtual Event, USA

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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Cited By

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Bernardi LHaeublein OZapata D(2024)Design and Development of a 3D Printed Electrode Headset for Affordable and Reliable ElectroencephalographyAdvances in Bioengineering and Clinical Engineering10.1007/978-3-031-61973-1_17(159-168)Online publication date: 8-Jun-2024
https://doi.org/10.1007/978-3-031-61973-1_17
Auda JGruenefeld UKosch TSchneegass S(2022)The Butterfly Effect: Novel Opportunities for Steady-State Visually-Evoked Potential Stimuli in Virtual RealityProceedings of the Augmented Humans International Conference 202210.1145/3519391.3519397(254-266)Online publication date: 13-Mar-2022
https://dl.acm.org/doi/10.1145/3519391.3519397

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Recommendations

Brain-Computer Interface using Directional Auditory Perception

Brain-computer interface research at Katholieke Universiteit Leuven

Brain--computer interface (BCI): is it strictly necessary to use random sequences in visual spellers?