Robust modeling and recognition of hand gestures with dynamic Bayesian network

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to represent the relationship among features and incorporate new information to the model. Unlike the coupled HMM, the proposed model has room for common hidden variables which are believed to be shared between two variables. In an experiment with ten isolated gestures, we obtained a recognition rate upwards of 99.59% with leave-one-out cross validation. The proposed model is believed to have a strong potential for successful applications to other related problems such as sign languages.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Publication statusPublished - 2008 Dec 1
Event2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
Duration: 2008 Dec 82008 Dec 11

Other

Other2008 19th International Conference on Pattern Recognition, ICPR 2008
CountryUnited States
CityTampa, FL
Period08/12/808/12/11

Fingerprint

Bayesian networks
Gesture recognition
Experiments

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Suk, H-I., Sin, B. K., & Lee, S. W. (2008). Robust modeling and recognition of hand gestures with dynamic Bayesian network. In Proceedings - International Conference on Pattern Recognition [4761337]

Robust modeling and recognition of hand gestures with dynamic Bayesian network. / Suk, Heung-Il; Sin, Bong Kee; Lee, Seong Whan.

Proceedings - International Conference on Pattern Recognition. 2008. 4761337.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Suk, H-I, Sin, BK & Lee, SW 2008, Robust modeling and recognition of hand gestures with dynamic Bayesian network. in Proceedings - International Conference on Pattern Recognition., 4761337, 2008 19th International Conference on Pattern Recognition, ICPR 2008, Tampa, FL, United States, 08/12/8.
Suk H-I, Sin BK, Lee SW. Robust modeling and recognition of hand gestures with dynamic Bayesian network. In Proceedings - International Conference on Pattern Recognition. 2008. 4761337
Suk, Heung-Il ; Sin, Bong Kee ; Lee, Seong Whan. / Robust modeling and recognition of hand gestures with dynamic Bayesian network. Proceedings - International Conference on Pattern Recognition. 2008.
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