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1
Using Multiple Sensors for Mobile Sign Language Recognition
In: http://wearables.cc.gatech.edu/publications/iswc2003-sign/iswc2003-sign.pdf (2003)
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2
Georgia Tech Gesture Toolkit: Supporting experiments in gesture recognition
In: http://www.cc.gatech.edu/~brashear/pubs/ICMI2003.pdf (2003)
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3
Using Multiple Sensors for Mobile Sign Language Recognition
In: http://www1.cs.columbia.edu/graphics/courses/mobwear/resources/brashear-iswc03.pdf (2003)
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.
URL: http://www1.cs.columbia.edu/graphics/courses/mobwear/resources/brashear-iswc03.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6644
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4
Using Multiple Sensors for Mobile Sign Language Recognition
In: http://www.cc.gatech.edu/ccg/././publications/iswc2003-sign/iswc2003-sign.ps (2003)
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5
Georgia Tech Gesture Toolkit: Supporting Experiments in Gesture Recognition
In: http://www.cc.gatech.edu/ccg/publications/westeyn_ICMI2003.pdf (2003)
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