Recognising Dutch Sign Language Signs Using the Kinect: Hidden Markov Models vs Dynamic Time Warping
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2017-06-29
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en
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Abstract
This paper compares the abilities of Hidden Markov Models and
Dynamic Time Warping to classify Dutch Sign Language gestures with
few examples. As communication with computers becomes more
important researchers need to know the methods they should use to
maximise their results given their data. 9 subjects recorded gestures for
this experiment. With enough examples Hidden Markov Models can give
you a good classification, but with few examples Dynamic Time Warping
proves to be a better classifier.
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Faculteit der Sociale Wetenschappen