Hidden Markov Model-Based Gesture Recognition with Overlapping Hand-Head/Hand-Hand Estimated Using Kalman Filter

In this paper, we introduce a hand gesture recognition system to recognize isolated Malaysian Sign Language (MSL). The system consists of four modules: collection of input images, feature extraction, Hidden Markov Model (HMM) training, and gesture recognition. First, we apply skin segmentation proce...

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Bibliographic Details

Published in:	2012 Third International Conference on Intelligent Systems Modelling and Simulation pp. 262 - 267
Main Authors:	Gaus, Yona Falinie Abdul, Wong, Farrah
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.02.2012
Subjects:	Equations Feature extraction gesture path gesture trajectory Handicapped aids Hidden Markov Model Hidden Markov models Image color analysis Kalman Filter Mathematical model Skin skin segmentation states YCbCr
ISBN:	1467308862, 9781467308861
ISSN:	2166-0662
Online Access:	Get full text
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