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» Recognizing Hand Gesture Using Motion Trajectories
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CVPR
1999
IEEE
15 years 27 days ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
ACII
2005
Springer
14 years 26 days ago
Hand Motion Recognition for the Vision-based Taiwanese Sign Language Interpretation
In this paper we present a system to recognize the hand motion of Taiwanese Sign Language (TSL) using the Hidden Markov Models (HMMs) through a vision-based interface. Our hand mot...
Chia-Shiuan Cheng, Pi-Fuei Hsieh, Chung-Hsien Wu
AMDO
2006
Springer
14 years 2 months ago
Action Recognition Using Motion Primitives and Probabilistic Edit Distance
In this paper we describe a recognition approach based on the notion of primitives. As opposed to recognizing actions based on temporal trajectories or temporal volumes, primitive-...
Preben Fihl, Michael B. Holte, Thomas B. Moeslund,...
VCIP
2000
196views Communications» more  VCIP 2000»
14 years 6 days ago
MIME: a gesture-driven computer interface
MIME (Mime Is Manual Expression) is a computationally efficient computer vision system for recognizing hand gestures. The system is intended to replace the mouse interface on a st...
Daniel Heckenberg, Brian Lovell
CHI
2007
ACM
14 years 11 months ago
Comparing two methods for gesture based short text input using chording
We report on the design and initial evaluation of two methods for short text input in wearable computing applications using hand gestures. A wireless data glove able to recognize ...
Hendrik Witt, Torben Janssen