Journal ArticleDOI
Recognition of dynamic hand gestures
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TLDR
A recognition engine is developed which can reliably recognize these gestures despite individual variations and has the ability to detect start and end of gesture sequences in an automated fashion.About:
This article is published in Pattern Recognition.The article was published on 2003-09-01. It has received 167 citations till now. The article focuses on the topics: Gesture recognition & Pattern recognition (psychology).read more
Citations
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Proceedings ArticleDOI
Review in Sign Language Recognition Systems
TL;DR: An overview of the main research works based on the Sign Language recognition system and the developed system classified into the sign capturing method and recognition techniques is discussed and a novel method for designing SLR system based on combining EMG sensors with a data glove is proposed.
Proceedings ArticleDOI
Hand shape estimation under complex backgrounds for sign language recognition
TL;DR: This work proposes a matching criterion defined as the length of the part of the contour covering the true hand contour by considering edge existence probability in the background and shows experimental results to support the effectiveness of the proposed criterion.
Proceedings ArticleDOI
A hidden Markov model based dynamic hand gesture recognition system using OpenCV
TL;DR: A novel and faster system for dynamic hand gesture recognition by using Intel's image processing library OpenCV, easy to develop, its recognition rate is quite fast and so the system can be practically used for real-time applications.
Journal ArticleDOI
Novel Haar features for real-time hand gesture recognition using SVM
Chen-Chiung Hsieh,Dung-Hua Liou +1 more
TL;DR: This work proposes a robust system which consists of three modules: digital zoom, adaptive skin detection, and hand gesture recognition, which classify the dynamic up, down, left, and right hand gestures.
Journal ArticleDOI
Feature fusion for 3D hand gesture recognition by learning a shared hidden space
TL;DR: This paper proposes a novel feature fusion approach for 3D hand gesture recognition that combines the merits of both features, gesture trajectories and acceleration signals, and results confirm the effectiveness of the feature fusion method.
References
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Journal ArticleDOI
A tutorial on hidden Markov models and selected applications in speech recognition
TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
Journal ArticleDOI
Active shape models—their training and application
TL;DR: This work describes a method for building models by learning patterns of variability from a training set of correctly annotated images that can be used for image search in an iterative refinement algorithm analogous to that employed by Active Contour Models (Snakes).
Journal ArticleDOI
Visual interpretation of hand gestures for human-computer interaction: a review
TL;DR: A fraction of the recycle slurry is treated with sulphuric acid to convert at least some of the gypsum to calcium sulphate hemihydrate and the slurry comprising hemihYDrate is returned to contact the mixture of phosphate rock, phosphoric acid and recycle Gypsum slurry.
Proceedings ArticleDOI
Real-time American Sign Language recognition from video using hidden Markov models
Thad Starner,Alex Pentland +1 more
TL;DR: A real-time HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accuracy of 99.2% without explicitly modeling the fingers.
Journal ArticleDOI
An HMM-based threshold model approach for gesture recognition
Hyeon-Kyu Lee,Jin Hyung Kim +1 more
TL;DR: A new method is developed using the hidden Markov model (HMM) based technique that calculates the likelihood threshold of an input pattern and provides a confirmation mechanism for the provisionally matched gesture patterns.