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dc.contributor.author Angel, Shane en
dc.contributor.author Tate, Allison en
dc.contributor.author Vogler, Christian en
dc.contributor.author Kushalnagar, Raja en
dc.date.accessioned 2022-06-20T21:01:33Z
dc.date.available 2022-06-20T21:01:33Z
dc.date.issued 2022 en
dc.identifier.citation Journal on Technology and Persons with Disabilities 10: 115-124. en
dc.identifier.issn 2330-4219 en
dc.identifier.uri http://hdl.handle.net/10211.3/223469
dc.description 37th Annual Assistive Technology Conference Scientific/Research Proceedings, online 2022 en
dc.description.abstract Teleconferences spotlight the active speaker, based on audio. For deaf signer accessibility, we report user evaluations of a sign-detection algorithm to spotlight the active signer. en
dc.format application/pdf en
dc.format.extent 9 pages en
dc.language.iso en en
dc.publisher California State University, Northridge. en
dc.rights Copyright 2022 by the authors and California State University, Northridge en
dc.subject Teleconferences en
dc.subject Disabilities en
dc.subject Technology en
dc.subject Accessibility en
dc.subject Accessible technology en
dc.title Teleconference Sign Language Detection en
dc.type Article en
dc.rights.license Creative Commons Attribution-NoDerivs 4.0 Unported License. en


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