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ICPR
2000
IEEE
14 years 5 months ago
Constructing Finite State Machines for Fast Gesture Recognition
This paper proposes an approach to 2D gesture recognition that models each gesture as a Finite State Machine (FSM) in spatial-temporal space. The model construction works in a sem...
Pengyu Hong, Thomas S. Huang, Matthew Turk
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
13 years 9 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
ICML
2005
IEEE
14 years 5 months ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
INTERSPEECH
2010
12 years 11 months ago
FSM-based pronunciation modeling using articulatory phonological code
According to articulatory phonology, the gestural score is an invariant speech representation. Though the timing schemes, i.e., the onsets and offsets, of the gestural activations...
Chi Hu, Xiaodan Zhuang, Mark Hasegawa-Johnson
ISVC
2010
Springer
13 years 3 months ago
Automatic Learning of Gesture Recognition Model Using SOM and SVM
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
Masaki Oshita, Takefumi Matsunaga