Dynamic Grasp Recognition Using Time Clustering, Gaussian Mixture Models and Hidden Markov Models

Author： Ju Zhaojie   Liu Honghai   Zhu Xiangyang   Xiong Youlun  

Publisher： Taylor & Francis Ltd

ISSN： 1568-5535

Source： Advanced Robotics, Vol.23, Iss.10, 2009-09, pp. : 1359-1371

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Speech Recognition IC Using Hidden Markov Models with Continuous Observation Densities

By Han Wei   Hon Kwok-Wai   Chan Cheong-Fat   Choy Chiu-Sing   Pun Kong-Pang  

Journal of VLSI Signal Processing, Vol. 47, Iss. 3, 2007-06 ,pp. : 223-232

Springer Publishing Company

Access to resources Recommend Favorite

Analysis of swallowing sounds using hidden Markov models

By Aboofazeli Mohammad  

Medical & Biological Engineering & Computing, Vol. 46, Iss. 4, 2008-04 ,pp. : 307-314

Springer Publishing Company

Access to resources Recommend Favorite

Effective technique for the recognition of offline Arabic handwritten words using hidden Markov models

By Azeem Sherif   Ahmed Hany  

International Journal on Document Analysis and Recognition (IJDAR), Vol. 16, Iss. 4, 2013-12 ,pp. : 399-412

Springer Publishing Company

Access to resources Recommend Favorite

Factorial Hidden Markov Models

By Ghahramani Z.  

Machine Learning, Vol. 29, Iss. 2-3, 1997-11 ,pp. : 245-273

Springer Publishing Company

Access to resources Recommend Favorite

Large scale discriminative training of hidden Markov models for speech recognition

By Woodland P.C.   Povey D.  

Computer Speech & Language, Vol. 16, Iss. 1, 2002-01 ,pp. : 25-47

Academic Press

Access to resources Recommend Favorite