abstract

P300-Based 3D Brain Painting in Virtual Reality

Authors:

Marvin AndujarAuthors Info & Claims

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW1119, Pages 1 - 6

https://doi.org/10.1145/3290607.3312968

Published: 02 May 2019 Publication History

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Abstract

Brain Painting is a brain-computer interface (BCI) application that gives users the ability to paint on a virtual canvas without requiring physical movement [1-2]. Brain Painting has shown to improve the Quality of Life (QOL) of patients with Amyotrophic lateral sclerosis (ALS), by giving patients a way to express themselves and affect society through their art [1]. Although there is currently no known cure for ALS, through such outlets we can help mitigate the physical and psychological impairments of those living with ALS. This paper discusses the development and testing of an immersive Brain Painting application using a Google brush-like tool in a 3D Environment, for able-bodied users. It also discusses how it can help provide a more immersive medium for users to express themselves creatively. In addition, we also discuss feedback received from a preliminary study on how the brush and application can be improved to better allow users to paint in VR using their brain.

References

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Shindo MAoki R(2024)Exploring Potential of Electromyography-based Avatar Operation Using Residual Muscles of ALS Individuals: Case Study on Avatar DJ PerformanceExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650857(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650857
Guillen-Sanz HCheca DMiguel-Alonso IBustillo A(2024)A systematic review of wearable biosensor usage in immersive virtual reality experiencesVirtual Reality10.1007/s10055-024-00970-928:2Online publication date: 8-Mar-2024
https://dl.acm.org/doi/10.1007/s10055-024-00970-9
Rusanu O(2024)A Brain-Computer Interface for Controlling a Wheelchair Based Virtual Simulation Using the Unicorn EEG Headset and the P300 Speller BoardSmart Technologies for a Sustainable Future10.1007/978-3-031-61905-2_41(423-435)Online publication date: 13-Jun-2024
https://doi.org/10.1007/978-3-031-61905-2_41
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Index Terms

P300-Based 3D Brain Painting in Virtual Reality
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Usability testing
      2. User studies
    2. Interaction devices
      1. Graphics input devices
  2. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping

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An Immersive Brain Painting: The Effects of Brain Painting in a Virtual Reality Environment
Augmented Cognition
Abstract
Brain Painting is a brain-computer interface (BCI) application that allows users to paint on a virtual canvas without requiring physical movement. Brain Painting has shown to improve the Quality of Life of patients with Amyotrophic lateral ...
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface

A P300 Speller is a brain-computer interface (BCI) that enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms (EEG). This BCI application is of particular interest to disabled ...
A BCI painting system using a hybrid control approach based on SSVEP and P300
Abstract
Brain-computer interfaces (BCIs) can help people with disabilities to communicate with others, express themselves, and even create art. In this paper, a BCI painting system using a hybrid control approach based on steady-state visual evoked ...
Highlights
- We develop a BCI painting system using a SSVEP/P300-based hybrid control approach.
- Tool selection accuracy of our system is higher than P300 brain painting system.
- Information transfer rate of our system is higher than P300 brain ...

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Published In

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

3673 pages

ISBN:9781450359719

DOI:10.1145/3290607

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

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Association for Computing Machinery

New York, NY, United States

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Published: 02 May 2019

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CHI '19

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SIGCHI

CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Shindo MAoki R(2024)Exploring Potential of Electromyography-based Avatar Operation Using Residual Muscles of ALS Individuals: Case Study on Avatar DJ PerformanceExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650857(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650857
Guillen-Sanz HCheca DMiguel-Alonso IBustillo A(2024)A systematic review of wearable biosensor usage in immersive virtual reality experiencesVirtual Reality10.1007/s10055-024-00970-928:2Online publication date: 8-Mar-2024
https://dl.acm.org/doi/10.1007/s10055-024-00970-9
Rusanu O(2024)A Brain-Computer Interface for Controlling a Wheelchair Based Virtual Simulation Using the Unicorn EEG Headset and the P300 Speller BoardSmart Technologies for a Sustainable Future10.1007/978-3-031-61905-2_41(423-435)Online publication date: 13-Jun-2024
https://doi.org/10.1007/978-3-031-61905-2_41
Zhu SYang JDing PWang FGong AFu Y(2023)Optimization of SSVEP-BCI Virtual Reality Stereo Stimulation Parameters Based on Knowledge GraphBrain Sciences10.3390/brainsci1305071013:5(710)Online publication date: 24-Apr-2023
https://doi.org/10.3390/brainsci13050710
Vatavu R(2023)Leveraging Sensorimotor Realities for Assistive Technology Design Bridging Smart Environments and Virtual WorldsProceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3594806.3594834(247-253)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3594806.3594834
Nwagu CAlSlaity AOrji R(2023)EEG-Based Brain-Computer Interactions in Immersive Virtual and Augmented Reality: A Systematic ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35932267:EICS(1-33)Online publication date: 19-Jun-2023
https://dl.acm.org/doi/10.1145/3593226
Monteiro PGonçalves GPeixoto BMelo MBessa M(2023)Evaluation of Hands-Free VR Interaction Methods During a Fitts’ Task: Efficiency and EffectivenessIEEE Access10.1109/ACCESS.2023.329305711(70898-70911)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3293057
Monteiro PCoelho HGonçalves GMelo MBessa M(2023)Exploring the user experience of hands-free VR interaction methods during a Fitts’ taskComputers and Graphics10.1016/j.cag.2023.10.005117:C(1-12)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.cag.2023.10.005
Kohli VTripathi UChamola VRout BKanhere S(2022)A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart citiesMicroprocessors & Microsystems10.1016/j.micpro.2021.10439288:COnline publication date: 1-Feb-2022
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Tang ZWang XWu JPing YGuo XCui Z(2022)A BCI painting system using a hybrid control approach based on SSVEP and P300Computers in Biology and Medicine10.1016/j.compbiomed.2022.106118150:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.106118
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An Immersive Brain Painting: The Effects of Brain Painting in a Virtual Reality Environment

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface

A BCI painting system using a hybrid control approach based on SSVEP and P300

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