Journal ArticleDOI
Real-time gesture recognition system and application
Chan Wah Ng,Surendra Ranganath +1 more
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TLDR
A vision-based system that can interpret a user's gestures in real time to manipulate windows and objects within a graphical user interface and users who tested it found the gestures intuitive and the application easy to use.About:
This article is published in Image and Vision Computing.The article was published on 2002-12-01. It has received 164 citations till now. The article focuses on the topics: Gesture recognition & Hidden Markov model.read more
Citations
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A review of vision based hand gestures recognition
G.R.S. Murthy,R. S. Jadon +1 more
TL;DR: The literature on visual interpretation of hand gestures in the context of its role in HCI and various seminal works of researchers are emphasized to introduce the field of gesture recognition as a mechanism for interaction with computers.
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Recent methods and databases in vision-based hand gesture recognition
TL;DR: A review of vision-based hand gesture recognition algorithms reported in the last 16 years using RGB and RGB-D cameras and qualitative and quantitative comparisons of algorithms are provided.
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Real-time hand tracking using a mean shift embedded particle filter
TL;DR: The proposed mean shift embedded particle filter (MSEPF) improves the sampling efficiency considerably and produces reliable tracking while effectively handling rapid motion and distraction with roughly 85% fewer particles.
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Theories, methods and current research on emotions in library and information science, information retrieval and human-computer interaction
TL;DR: Current research on emotions in library and information science, information retrieval and human-computer interaction, and some of the challenges and directions for future work are examined.
Real-Time Hand Tracking and Gesture Recognition System
TL;DR: A gesture recognition system which can reliably recognize single-hand gestures in real time on standard hardware is developed and there have been proposed to improve the overall performance of the approach.
References
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Journal ArticleDOI
Fast learning in networks of locally-tuned processing units
John Moody,Christian J. Darken +1 more
TL;DR: This work proposes a network architecture which uses a single internal layer of locally-tuned processing units to learn both classification tasks and real-valued function approximations (Moody and Darken 1988).
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A learning algorithm for continually running fully recurrent neural networks
Ronald J. Williams,David Zipser +1 more
TL;DR: The exact form of a gradient-following learning algorithm for completely recurrent networks running in continually sampled time is derived and used as the basis for practical algorithms for temporal supervised learning tasks.
Journal Article
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
David S. Broomhead,David Lowe +1 more
TL;DR: The relationship between 'learning' in adaptive layered networks and the fitting of data with high dimensional surfaces is discussed, leading naturally to a picture of 'generalization in terms of interpolation between known data points and suggests a rational approach to the theory of such networks.
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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.