Literature DB >> 32476516

Human visual skills for brain-computer interface use: a tutorial.

Melanie Fried-Oken1,2, Michelle Kinsella2, Betts Peters2, Brandon Eddy2,3, Bruce Wojciechowski4.   

Abstract

Background and objectives: Many brain-computer interfaces (BCIs) for people with severe disabilities present stimuli in the visual modality with little consideration of the visual skills required for successful use. The primary objective of this tutorial is to present researchers and clinical professionals with basic information about the visual skills needed for functional use of visual BCIs, and to offer modifications that would render BCI technology more accessible for persons with vision impairments.
Methods: First, we provide a background on BCIs that rely on a visual interface. We then describe the visual skills required for BCI technologies that are used for augmentative and alternative communication (AAC), as well as common eye conditions or impairments that can impact the user's performance. We summarize screening tools that can be administered by the non-eye care professional in a research or clinical setting, as well as the role of the eye care professional. Finally, we explore potential BCI design modifications to compensate for identified functional impairments. Information was generated from literature review and the clinical experience of vision experts.Results and conclusions: This in-depth description culminates in foundational information about visual skills and functional visual impairments that affect the design and use of visual interfaces for BCI technologies. The visual interface is a critical component of successful BCI systems. We can determine a BCI system for potential users with visual impairments and design BCI visual interfaces based on sound anatomical and physiological visual clinical science.Implications for RehabilitationAs brain-computer interfaces (BCIs) become possible access methods for people with severe motor impairments, it is critical that clinicians have a basic knowledge of the visual skills necessary for use of visual BCI interfaces.Rehabilitation providers must have a knowledge of objectively gathering information regarding a potential BCI user's functional visual skills.Rehabilitation providers must understand how to modify BCI visual interfaces for the potential user with visual impairments.Rehabilitation scientists should understand the visual demands of BCIs as they develop and evaluate these new access methods.

Entities:  

Keywords:  Brain-computer interface; assistive technology; severe disabilities; vision; visual impairments

Mesh:

Year:  2020        PMID: 32476516      PMCID: PMC7529781          DOI: 10.1080/17483107.2020.1754929

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  67 in total

Review 1.  A review of the evidence on the effectiveness of children's vision screening.

Authors:  M Mathers; M Keyes; M Wright
Journal:  Child Care Health Dev       Date:  2010-11       Impact factor: 2.508

2.  A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.

Authors:  G Townsend; B K LaPallo; C B Boulay; D J Krusienski; G E Frye; C K Hauser; N E Schwartz; T M Vaughan; J R Wolpaw; E W Sellers
Journal:  Clin Neurophysiol       Date:  2010-03-26       Impact factor: 3.708

3.  Prevalence of visual impairment in the United States.

Authors:  Susan Vitale; Mary Frances Cotch; Robert D Sperduto
Journal:  JAMA       Date:  2006-05-10       Impact factor: 56.272

4.  Broken wheel acuity test: a new and valid test for preschool and exceptional children.

Authors:  J E Richman; G T Petito; M T Cron
Journal:  J Am Optom Assoc       Date:  1984-08

5.  Evaluation of the visual function of patients with locked-in syndrome: Report of 13 cases.

Authors:  M Graber; G Challe; M F Alexandre; B Bodaghi; P LeHoang; V Touitou
Journal:  J Fr Ophtalmol       Date:  2016-05-03       Impact factor: 0.818

6.  Prevalence of cataract and pseudophakia/aphakia among adults in the United States.

Authors:  Nathan Congdon; Johannes R Vingerling; Barbara E K Klein; Sheila West; David S Friedman; John Kempen; Benita O'Colmain; Suh-Yuh Wu; Hugh R Taylor
Journal:  Arch Ophthalmol       Date:  2004-04

7.  Diffuse Colour Discrimination as Marker of Afferent Visual System Dysfunction in Amyotrophic Lateral Sclerosis.

Authors:  Lindsay Boven; Qin Li Jiang; Heather E Moss
Journal:  Neuroophthalmology       Date:  2017-06-01

8.  Brain-computer interface with language model-electroencephalography fusion for locked-in syndrome.

Authors:  Barry S Oken; Umut Orhan; Brian Roark; Deniz Erdogmus; Andrew Fowler; Aimee Mooney; Betts Peters; Meghan Miller; Melanie B Fried-Oken
Journal:  Neurorehabil Neural Repair       Date:  2013-12-26       Impact factor: 3.919

9.  The volume of tumor mass and visual field defect in patients with pituitary macroadenoma.

Authors:  Jung Pil Lee; In Won Park; Yun Suk Chung
Journal:  Korean J Ophthalmol       Date:  2011-01-17

10.  Impact of Speller Size on a Visual P300 Brain-Computer Interface (BCI) System under Two Conditions of Constraint for Eye Movement.

Authors:  R Ron-Angevin; L Garcia; Á Fernández-Rodríguez; J Saracco; J M André; V Lespinet-Najib
Journal:  Comput Intell Neurosci       Date:  2019-07-01
View more
  3 in total

1.  SSVEP BCI and Eye Tracking Use by Individuals With Late-Stage ALS and Visual Impairments.

Authors:  Betts Peters; Steven Bedrick; Shiran Dudy; Brandon Eddy; Matt Higger; Michelle Kinsella; Deirdre McLaughlin; Tab Memmott; Barry Oken; Fernando Quivira; Scott Spaulding; Deniz Erdogmus; Melanie Fried-Oken
Journal:  Front Hum Neurosci       Date:  2020-11-20       Impact factor: 3.169

2.  Target-Related Alpha Attenuation in a Brain-Computer Interface Rapid Serial Visual Presentation Calibration.

Authors:  Daniel Klee; Tab Memmott; Niklas Smedemark-Margulies; Basak Celik; Deniz Erdogmus; Barry S Oken
Journal:  Front Hum Neurosci       Date:  2022-04-21       Impact factor: 3.473

3.  A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities.

Authors:  Betts Peters; Brandon Eddy; Deirdre Galvin-McLaughlin; Gail Betz; Barry Oken; Melanie Fried-Oken
Journal:  Front Hum Neurosci       Date:  2022-07-27       Impact factor: 3.473

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.