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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Bibliografski detalji
Izdano u:Journal of Applied Research and Technology
Glavni autori: H.H. Avilés-Arriaga, L.E. Sucar-Succar, C.E. Mendoza-Durán, L.A. Pineda-Cortés
Format: Artigo
Jezik:Inglês
Izdano: Universidad Nacional Autónoma de México 2011
Teme:
Ingeniería
motion analysis
visual tracking
Gesture recognition
hidden Markov models
Online pristup:https://www.redalyc.org/articulo.oa?id=47419311007
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