Parallel hidden markov models for american sign language recognition
| Author(s) : | Dimitris Metaxas Christian Vogler, |
| Publisher : | N/A |
| Publication Date : | 1999 |
| ISSN : | N/A |
| Abstract : | The major challenge that faces American Sign Language (ASL) recognition now is to develop 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 after enforcing linguistic constraints is approximately 5:5 \Theta 10, |