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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Book ChapterDOI
Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systems
TL;DR: A novel Gesture Recognition Performance Score (GRPS) is developed for ranking gesture recognition algorithms, and to predict the success of these algorithms in real-world scenarios and an evaluation metric namely Gesture Dataset Score (GDS) is presented to quantify the quality of gesture databases.
Dissertation
A Computational Framework for Indian Sign Language Recognition
TL;DR: This research tried, the recognition of simple ISL sentences following Subject-Object-Verb pattern, and the combination of HOG and LBP descriptors was found promising in addressing these complexities.
Book ChapterDOI
Evaluation of the Influence of Interface Symbols on User Hand-Gestures in Augmented Reality.
TL;DR: In this paper, the effect of user interface on gesture interaction was evaluated using task completion time and PSSUQ scale to evaluate the effect and then to improve the augmented reality interface.
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.