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    Using Multiple Sensors for Mobile Sign Language Recognition

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    iswc2003-sign.pdf (160.4Kb)
    Date
    2003-10
    Author
    Brashear, Helene
    Starner, Thad
    Lukowicz, Paul
    Junker, Holger
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    Abstract
    We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguation of noisy data to improve recognition accuracy. Our experiment compares the results of training a small gesture vocabulary using noisy vision data, accelerometer data and both data sets combined.
    URI
    http://hdl.handle.net/1853/28997
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    • Contextual Computing Group Publications [6]

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