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Using Multiple Sensors for Mobile Sign Language Recognition
White Plains, New York, USA October 21-October 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISWC.2003.1241392Seventh IEEE International Symposium ...
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Helene Brashear, Georgia Institute of Technology
Thad Starner, Georgia Institute of Technology
Paul Lukowicz, ETH - Swiss Federal Institute of Technology
Holger Junker, ETH - Swiss Federal Institute of Technology
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.
Citation:
Helene Brashear, Thad Starner, Paul Lukowicz, Holger Junker, "Using Multiple Sensors for Mobile Sign Language Recognition," iswc, pp.45, Seventh IEEE International Symposium on Wearable Computers (ISWC'03), 2003
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