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dc.contributor.advisorChellappa, Rama
dc.contributor.advisorTang, Cha-Min
dc.contributor.authorAstler, Douglas
dc.contributor.authorChau, Harrison
dc.contributor.authorHsu, Kailin
dc.contributor.authorHua, Alvin
dc.contributor.authorKannan, Andrew
dc.contributor.authorLei, Lydia
dc.contributor.authorNathanson, Melissa
dc.contributor.authorParyavi, Esmaeel
dc.contributor.authorRosen, Michelle
dc.contributor.authorUnno, Hayato
dc.contributor.authorWang, Carol
dc.contributor.authorZaidi, Khadija
dc.contributor.authorZhang, Xuemin
dc.date.accessioned2012-05-17T19:54:30Z
dc.date.available2012-05-17T19:54:30Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/1903/12489
dc.descriptionGemstone Team FACEen_US
dc.description.abstractThe majority of communication between humans is comprised of nonverbal cues. Visual cues, such as expressions and nodding, are not readily accessible to the blind. Our team has developed an assistive device based on computer vision, which relays facial recognition and expression information to a blind user and is designed to store images of people the user frequently interacts with and analyze faces for expressions. The control a user has over his/her surroundings while receiving real-time feedback contributes to a unique device. In order to design a device suited best to the blind user's needs, we engaged sighted and blind participants in surveys and interviews to understand their views and preferences regarding the availability of a computer vision system that, in real-time, can pro- vide information about identity and expressions of humans. This thesis discusses the development methodology, the selection of algorithms for recognizing faces and expressions and physical designs of the device, and the results on subject tests with blind participants to gauge the e ectiveness of our design.en_US
dc.language.isoen_USen_US
dc.subjectfacial recognitionen_US
dc.subjectassistive devicesen_US
dc.subjectblindnessen_US
dc.subjectnonverbal communicationen_US
dc.subjectGemstone Team FACEen_US
dc.titleFacial and expression recognition for the blind using computer visionen_US
dc.typeThesisen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtGemstone Program, University of Maryland (College Park, Md)


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