Gaussian Process Dynamical Models for Hand Gesture Interpretation in Sign Language

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Gaussian Process Dynamical Models for Hand Gesture Interpretation in Sign Language

Classifying human hand gestures in the context of a Sign Language has been historically dominated by Artificial Neural Networks and Hidden Markov Model with varying degrees of success. The main objective of this paper is to introduce Gaussian Process Dynamical Model as an alternative machine learnin...

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Bibliographic Details
Main Authors:	Gamage, Nuwan, Chow, Kuang Ye, Akmeliawati, Rini, Demidenko, Serge
Format:	Article
Language:	English English
Published:	Elsevier 2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/6002/ http://irep.iium.edu.my/6002/1/S0167865511002662 http://irep.iium.edu.my/6002/2/1-s2.0-S0167865511002662-main.pdf

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