Journal ArticleDOI
Layered architecture for real time sign recognition: Hand gesture and movement
Reads0
Chats0
TLDR
A real time sign recognition architecture including both gesture and movement recognition is presented, which deals specially with problems like sensor noise and simplification of the training phase.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2010-10-01. It has received 42 citations till now. The article focuses on the topics: Gesture recognition & Sketch recognition.read more
Citations
More filters
Journal ArticleDOI
Vision based hand gesture recognition for human computer interaction: a survey
TL;DR: An analysis of comparative surveys done in the field of gesture based HCI and an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it under different key parameters are provided.
Journal ArticleDOI
A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017.
M.A. Ahmed,M.A. Ahmed,B. B. Zaidan,A. A. Zaidan,Mahmood Maher Salih,Mahmood Maher Salih,Muhammad Modi Lakulu +6 more
TL;DR: Analysis of the glove systems for SLR device characteristics, develop a roadmap for technology evolution, discuss its limitations, and provide valuable insights into technological environments will help researchers to understand the current options and gaps in this area.
Journal ArticleDOI
Hand posture and gesture recognition techniques for virtual reality applications: a survey
TL;DR: A survey on hand posture and gesture is clarified with a detailed comparative analysis of hidden Markov model approach with other classifier techniques, and difficulties and future investigation bearing are also examined.
Journal ArticleDOI
A systematic literature review on vision based gesture recognition techniques
Ahmad Sami Al-Shamayleh,Rodina Ahmad,Mohammad A. M. Abushariah,Khubaib Amjad Alam,Nazean Jomhari +4 more
TL;DR: The results reveal that among the VBR techniques, HGR is a predominant and highly focused area of research, and research focus is also found to be converging towards sign language recognition.
Journal ArticleDOI
Hand gesture recognition using low-budget data glove and cluster-trained probabilistic neural network
Ognjan Luzanin,Miroslav Plančak +1 more
TL;DR: The proposed gesture recognition system uses clustering ensemble to reduce the training data set without significant deterioration of the quality of training, and is efficiently performed using three types of clustering algorit...
References
More filters
Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
TL;DR: In this article, the maximal statistical dependency criterion based on mutual information (mRMR) was proposed to select good features according to the maximal dependency condition. But the problem of feature selection is not solved by directly implementing mRMR.
Feature selection based on mutual information: criteria ofmax-dependency, max-relevance, and min-redundancy
TL;DR: This work derives an equivalent form, called minimal-redundancy-maximal-relevance criterion (mRMR), for first-order incremental feature selection, and presents a two-stage feature selection algorithm by combining mRMR and other more sophisticated feature selectors (e.g., wrappers).
Book
Evolutionary algorithms in theory and practice
TL;DR: In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming within a unified framework, thereby clarifying the similarities and differences of these methods.
Book
Feature Selection for Knowledge Discovery and Data Mining
Huan Liu,Hiroshi Motoda +1 more
TL;DR: Feature Selection for Knowledge Discovery and Data Mining offers an overview of the methods developed since the 1970's and provides a general framework in order to examine these methods and categorize them and suggests guidelines for how to use different methods under various circumstances.
Related Papers (5)
American Sign Language word recognition with a sensory glove using artificial neural networks
Cemil Oz,Ming C. Leu +1 more