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» Factorial Hidden Markov Models for Gait Recognition
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IROS
2006
IEEE
141views Robotics» more  IROS 2006»
14 years 1 months ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...
Daniel Aarno, Danica Kragic
INTERACT
2003
13 years 9 months ago
The New Text and Graphical Input Device: Compact Biometrical Data Acquisition
Abstract: Development of new text and graphical input devices is considered to be important part of humancomputer interaction by many researchers worldwide. Our paper presents our ...
Pen Ondrej Rohlik, Pavel Mautner, Václav Ma...
FGR
2008
IEEE
134views Biometrics» more  FGR 2008»
14 years 2 months ago
HMM parameter reduction for practical gesture recognition
We examine in detail some properties of gesture recognition models which utilize a reduced number of parameters and lower algorithmic complexity compared to traditional hidden Mar...
Stjepan Rajko, Gang Qian
CVPR
2007
IEEE
14 years 9 months ago
Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James
ACL
2010
13 years 5 months ago
Correcting Errors in Speech Recognition with Articulatory Dynamics
We introduce a novel mechanism for incorporating articulatory dynamics into speech recognition with the theory of task dynamics. This system reranks sentencelevel hypotheses by th...
Frank Rudzicz