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    Facial and expression recognition for the blind using computer vision

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    No. of downloads: 10162

    Date
    2012
    Author
    Astler, Douglas
    Chau, Harrison
    Hsu, Kailin
    Hua, Alvin
    Kannan, Andrew
    Lei, Lydia
    Nathanson, Melissa
    Paryavi, Esmaeel
    Rosen, Michelle
    Unno, Hayato
    Wang, Carol
    Zaidi, Khadija
    Zhang, Xuemin
    Advisor
    Chellappa, Rama
    Tang, Cha-Min
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    Abstract
    The 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.
    Notes
    Gemstone Team FACE
    URI
    http://hdl.handle.net/1903/12489
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    DRUM is brought to you by the University of Maryland Libraries
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