A Comparison of Dynamic Naive Bayesian Classifiers and Hidden Markov Models for Gesture Recognition
In this paper we present a study to assess the performance of dynamic naive Bayesian classifiers (DNBCs) versus standard hidden Markov models (HMMs) for gesture recognition. DNBCs incorporate explicit conditional independence among gesture features given states into HMMs. We show that this factoriza...
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| Publié dans: | Journal of Applied Research and Technology |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Universidad Nacional Autónoma de México
2011
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| Sujets: | |
| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=47419311007 |
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