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ICPR
2008
IEEE
15 years 10 months ago
Robust modeling and recognition of hand gestures with dynamic Bayesian network
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 r...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
148
Voted
ROBOCUP
2009
Springer
289views Robotics» more  ROBOCUP 2009»
15 years 8 months ago
Real-Time Hand Gesture Recognition for Human Robot Interaction
In this article a hand gesture recognition system that allows interacting with a service robot, in dynamic environments and in real-time, is proposed. The system detects hands and ...
Mauricio Correa, Javier Ruiz-del-Solar, Rodrigo Ve...
148
Voted
ICPR
2008
IEEE
15 years 10 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...
138
Voted
FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
15 years 10 months ago
Recognizing hand gestures using dynamic Bayesian network
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
ECCV
2004
Springer
16 years 5 months ago
Hand Gesture Recognition within a Linguistics-Based Framework
An approach to recognizing human hand gestures from a monocular temporal sequence of images is presented. Of particular concern is the representation and recognition of hand movem...
Konstantinos G. Derpanis, Richard P. Wildes, John ...