A probabilistic inference of multiparty-Conversation structure based on markov-Switching models of gaze patterns, head directions, and utterances

Proceedings of the Seventh International Conference on Multimodal Interfaces, ICMI'05

Volumn , Issue , 2005, Pages 191-198

  Otsuka, Kazuhiro ^a,c   Yamato, Junji ^a   Takemae, Yoshinao ^b   Murase, Hiroshi ^c  

^a Nippon Telegraph and Telephone Corporation   (Japan)

^b NTT CORPORATION   (Japan)

^c NAGOYA UNIVERSITY   (Japan)

Author keywords

Dynamic bayesian network; Eye gaze; Face to face multiparty conversation; Gibbs sampler; Markov chain monte carlo; Markov switching model; Nonverbal cues

Indexed keywords

BAYESIAN; EYE GAZE; FACE-TO-FACE MULTIPARTY CONVERSATION; GIBBS SAMPLER; MARKOV CHAIN MONTE CARLO (MCMC); MARKOV-SWITCHING MODEL; NONVERBAL CUES;

INFORMATION TECHNOLOGY; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILISTIC LOGICS;

TELECOMMUNICATION SYSTEMS;

EID: 32344452625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1088463.1088497     Document Type: Conference Paper

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