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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Journal ArticleDOI
Hand Region Tracking and Fingertip Detection based on Depth Image
TL;DR: A tracking method that relies only on depth information, as well as a method of using region growing to identify errors that can occur during the tracking process and a methods of detecting the fingertip that can be applied for the recognition of various gestures are proposed.
Proceedings ArticleDOI
Large screen interactive touch system based on affine transformation
TL;DR: A large screen interactive system with projection technology is designed based on the affine transformation algorithm to realize the precise interactive region coordinate positioning to solve the problem of imprecise localization and perturbation interference in the field of traditional large screen.
Book ChapterDOI
A Study on Static Hand Gesture Recognition Using Type-1 Fuzzy Membership Function
Sriparna Saha,Amit Konar +1 more
South African Sign Language Hand Shape and Orientation Recognition on Mobile Devices Using Deep Learning
TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information about the physical properties of the response of the immune system to computer attacks.
Use of projector-camera system for human-computer interaction
Ronald Chung,Dai Jingwen +1 more
TL;DR: A system that estimates 6-DOF head pose by imperceptible structured light sensing is proposed, and how an HCI (Human-Computer Interface) with small device size, large display, and touch input facility can be made possible by a mere projector and camera is addressed.
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.