Dynamic grasp recognition using time clustering, Gaussian mixture models and hidden Markov models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5314 LNAI, Issue PART 1, 2008, Pages 669-678

  Ju, Zhaojie ^a   Liu, Honghai ^a   Zhu, Xiangyang ^b   Xiong, Youlun ^c  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Gaussian mixture models; Grasp recognition; Hidden Markov models; Programming by demonstration; Time clustering

Indexed keywords

GAUSSIAN DISTRIBUTION; INTELLIGENT ROBOTS; OBJECT RECOGNITION; ROBOTICS; TRELLIS CODES;

GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODEL (GMMS); GRASP RECOGNITION; HIDDEN MARKOV MODELS (HMMS); MULTI-DISCIPLINARY RESEARCH; PROGRAMMING BY DEMON-STRATION; REAL TIME RECOGNITION; TIME-CLUSTERING;

HIDDEN MARKOV MODELS;

EID: 56749134453     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88513-9_72     Document Type: Conference Paper

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