A framework for recognizing the simultaneous aspects of american sign language
The major challenge that faces American Sign Language (ASL) recognition now is
developing methods that will scale well with increasing vocabulary size. Unlike in spoken
languages, phonemes can occur simultaneously in ASL. The number of possible
combinations of phonemes is approximately 1.5× 109, which cannot be tackled by
conventional hidden Markov model-based methods. Gesture recognition, which is less
constrained than ASL recognition, suffers from the same problem. In this paper we present a …
developing methods that will scale well with increasing vocabulary size. Unlike in spoken
languages, phonemes can occur simultaneously in ASL. The number of possible
combinations of phonemes is approximately 1.5× 109, which cannot be tackled by
conventional hidden Markov model-based methods. Gesture recognition, which is less
constrained than ASL recognition, suffers from the same problem. In this paper we present a …
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