Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals who are Blind

dc.contributor.authorSaulynas, Sidas
dc.contributor.authorKuber, Ravi
dc.date.accessioned2026-02-12T16:44:44Z
dc.date.issued2017-10-19
dc.descriptionThe 19th International ACM SIGACCESS Conference on Computers and Accessibility, October 20 - 1 November, 2017, Baltimore Maryland, USA
dc.description.abstractThis paper describes an exploratory study examining the feasibility of using Brain-Computer Interface (BCI) and gestural technologies to support individuals who are blind during the authentication process. Four legally-blind participants were asked to don the Emotiv Epoc headset, and authenticate entry using gestural cues, emotional cues and mental commands. Findings highlighted that while BCI and gestural technologies may be slower and less accurate to use compared to four digit PINs, levels of perceived security were higher, as some of these cues were thought to be more difficult for third parties to replicate. A trade-off between perceived security and usability was evident.
dc.description.sponsorshipThis work was partly supported through the Office of Naval Research (N00014-15-1-2776). We thank Charles Lechner (UMBC) for his assistance with the development of the system.
dc.description.urihttps://dl.acm.org/doi/10.1145/3132525.3134785
dc.format.extent3 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2tncp-k3p3
dc.identifier.citationSaulynas, Sidas, and Ravi Kuber. “Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals Who Are Blind.” Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (New York, NY, USA), ASSETS ’17, October 19, 2017, 403–4. https://doi.org/10.1145/3132525.3134785.
dc.identifier.urihttps://doi.org/10.1145/3132525.3134785
dc.identifier.urihttp://hdl.handle.net/11603/41946
dc.language.isoen
dc.publisherACM
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC Human-Centered Computing Program
dc.titleTowards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals who are Blind
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-1095-3772

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