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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Patent
Performance control of ambient light sensors
Peter Mankowski,Jacek S. Idzik +1 more
TL;DR: In this article, a device and method to control measurements of light intensity is described, which includes two or more ambient light sensors arranged at respective surface locations of the device, each of the sensors measuring the light intensity at the respective surface location.
Journal ArticleDOI
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks
TL;DR: The results show that the proposed approach significantly outperforms these methods, it is invariant to scale and translation, and it has the ability to recognize patterns from only partial information.
Journal ArticleDOI
Modelling stabilograms with hidden Markov models
TL;DR: Whether hidden Markov models can be used to control and represent phenomena in human balance signals recorded from subjects standing on a force platform and to classify healthy controls and patients who suffered from Menière's disease into their own classes is explored.
Proceedings ArticleDOI
Vision-based hand interaction and its application in pervasive games
TL;DR: A vision-based approach for human hand motion gesture recognition is proposed for natural HCI in pervasive games and is applied to the traditional game Tetris on PC with the hand-held LED light pen being used to drive the game instead of traditional key strokes.
Journal ArticleDOI
The New Hand Geometry System and Automatic Identification
TL;DR: A system performing automatic recognition without the use of specific hardware is proposed, emphases on executing feature extractions from a typical database and then developing a neural network classifier based on back-propagation architectures with various exercise methods.
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.