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Hand Gesture Recognition Via a New Self-organized Neural Network [chapter]

E. Stergiopoulou, N. Papamarkos, A. Atsalakis
2005 Lecture Notes in Computer Science  
A new method for hand gesture recognition is proposed which is based on an innovative Self-Growing and Self-Organized Neural Gas (SGONG) network.  ...  Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map.  ...  Once the hand is detected, a new Self-Growing and Self-Organized Neural Gas (SGONG) [8] network is used in order to approximate its topology.  ... 
doi:10.1007/11578079_92 fatcat:alhd6l57vrhftggnwgfgbycmmu


Aleksejs Zorins, Peter Grabusts
2017 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
The aim of this paper is to recognize Latvian sign language alphabet using classification approach with artificial neural networks, which is a first step in developing integral system of Latvian Sign Language  ...  So this area influenced us very much to carry on the further work related to hand gesture classification and sign's clustering.  ...  .    i p ip ip o t E 2 ) ( 2 1 E k W k W      ) ( ) 1 ( When a self-organizing network is used, an input vector is presented at each step.  ... 
doi:10.17770/etr2017vol2.2653 fatcat:4wa3j52oarewnjxnwz2oh6zjkm

Gesture Classification with Hierarchically Structured Recurrent Self-Organizing Maps

Volker Baier, Lorenz Mosenlechner, Matthias Kranz
2007 2007 Fourth International Conference on Networked Sensing Systems  
We constructed a hierarchically structured neural network assembly based on recurrent self-organizing maps which is able to process and to classify motion data.  ...  This previously recorded data was automatically pre-processed by our biologically inspired neural network and classified by a improved k-nearest neighborhood classifier.  ...  Neural networks are used for classification here.  ... 
doi:10.1109/inss.2007.4297394 fatcat:nxrgqsnzwfhqrpfuus5b3yio7q

Editorial: Neural Processing Letters Special Issue on "Neural Networks for Vision and Robotics"

J. Garcia-Rodriguez, A. Psarrou, A. Lewis, A. Angelopoulou, M. Cazorla
2015 Neural Processing Letters  
., a colour space and a colour component weighting selection is proposed to detect foreground objects in video sequences using self-organizing maps.  ...  A special session on Neural Networks for Vision and Robotics (NNVR) was organized with a large volume of high quality papers.  ...  ., a colour space and a colour component weighting selection is proposed to detect foreground objects in video sequences using self-organizing maps.  ... 
doi:10.1007/s11063-015-9435-4 fatcat:ia7l54pcnfgfxomatwutipcgbi

Comparative evaluation of static gesture recognition techniques based on nearest neighbor, neural networks and support vector machines

Alexandre Savaris, Aldo von Wangenheim
2010 Journal of the Brazilian Computer Society  
To reduce this gap, this work presents a comparison between three well-established techniques for static gesture recognition, using Nearest Neighbor, Neural Networks, and Support Vector Machines as classifiers  ...  It is a common behavior for human beings to use gestures as a means of expression, as a complement to speaking, or as a self-contained communication mode.  ...  Stergiopoulou and Papamarkos [15] used an unsupervised neural classifier (SGONG-Self-Growing and Organized Neural Gas) to classify static gestures whose data were acquired from a camera, respecting the  ... 
doi:10.1007/s13173-010-0009-z fatcat:n5lyhfzftnezdce73pvpr6rdv4

Hand Gesture Interpretation Using Sensing Glove Integrated With Machine Learning Algorithms

Aqsa Ali, Aleem Mushtaq, Attaullah Memon, Monna
2016 Zenodo  
Linear Bayes Classifiers and Multilayer Neural Networks have been used to classify 11 feature vectors obtained from the sensors on the glove into one of the 27 ASL alphabets and a predefined gesture for  ...  Three types of features are used; bending using six bend sensors, orientation in three dimensions using accelerometers and contacts at vital points using contact sensors.  ...  ACKNOWLEDGMENT The project was supported by ICT-R&D Grass Root Initiative funding.  ... 
doi:10.5281/zenodo.1127465 fatcat:fmkhoywinfhghid2hemqd42knu

Hand gesture recognition using a neural network shape fitting technique

E. Stergiopoulou, N. Papamarkos
2009 Engineering applications of artificial intelligence  
A new method for hand gesture recognition that is based on a hand gesture fitting procedure via a new Self-Growing and Self-Organized Neural Gas (SGONG) network is proposed.  ...  Then, the SGONG network is applied on the hand area so as to approach its shape. Based on the output grid of neurons produced by the neural network, palm morphologic characteristics are extracted.  ...  Self-growing and organized neural gas The SGONG is an unsupervised neural classifier.  ... 
doi:10.1016/j.engappai.2009.03.008 fatcat:fizz6bmmyze4blh4kgifqggrxy

Hand Gesture Recognition: A Literature Review

Rafiqul Zaman Khan
2012 International Journal of Artificial Intelligence & Applications  
In this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture recognition system are presented with challenges of gesture system.  ...  Summary of research results of hand gesture methods, databases, and comparison between main gesture recognition phases are also given.  ...  Stergiopoulou [14] suggested a new Self-Growing and Self-Organized Neural Gas (SGONG) network for hand gesture recognition.  ... 
doi:10.5121/ijaia.2012.3412 fatcat:hvce2eeuiraurjo66mxpkhytoa

Conversion of Sign Language Video to Text and Speech

Mr. G. Sekhar Reddy, A. Sahithi, P. Harsha Vardhan, P. Ushasri
2022 International Journal for Research in Applied Science and Engineering Technology  
We propose a novel approach, by using Video sequences that contain both the temporal as well as the spatial features.  ...  We have used RNN(recurrent neural network) to train the model on the temporal features.  ...  Second, the problem is a supervised adaption of the self-organizing maps technique for image processing, descriptor extraction, and subsequent handshape classification.  ... 
doi:10.22214/ijraset.2022.42078 fatcat:vwxedi35jbhq3gfi5xb7mpdwxu

Human gesture recognition using Kinect camera

Orasa Patsadu, Chakarida Nukoolkit, Bunthit Watanapa
2012 2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE)  
Our future work will use the knowledge obtained from these classifiers in time series analysis of gesture sequence for detecting fall motion in a smart home system.  ...  In this paper, we propose a comparison of human gesture recognition using data mining classification methods in video streaming.  ...  Kiran et al [11] presented a comparison of posture recognition between supervised and unsupervised learning algorithms, which consists of K-means, artificial neural network, self-organizing maps, and  ... 
doi:10.1109/jcsse.2012.6261920 fatcat:nrqj4puzejdeln5nca33wgouw4

Face Detection in Image and Video using Neural Network

Manju Mohan K
2017 International Journal for Research in Applied Science and Engineering Technology  
Feed forward neural network is created using back propagation method. From a given input image or video, the face is detected using neural network to enhance the accuracy and performance.  ...  It is a computer technology which helps to detect and identify human faces in digital images. In this paper face is detected from the given photo and the video using neural networks.  ...  Next method is Self Organization Map (SOM), the self organizing map [12] is identified as a KohenMap in artificial neural network.  ... 
doi:10.22214/ijraset.2017.8115 fatcat:gcul4prkvrc2liv7zwbgt6xyke

DeepArSLR: A Novel Signer-Independent Deep Learning Framework for Isolated Arabic Sign Language Gestures Recognition

Saleh Aly, Walaa Aly
2020 IEEE Access  
Extracting hand shape features is achieved using a single layer Convolutional Self-Organizing Map (CSOM) instead of relying on transfer learning of pretrained deep convolutional neural networks.  ...  and deep recurrent neural network.  ...  Hand shape representation is learned using a simple Convolutional Self-Organizing Map (CSOM) network.  ... 
doi:10.1109/access.2020.2990699 fatcat:rnov5ewiprdcrh2jf5h6em626q

3D Hand Pose Estimation with Neural Networks [chapter]

Jose Antonio Serra, José Garcia-Rodriguez, Sergio Orts-Escolano, Juan Manuel Garcia-Chamizo, Anastassia Angelopoulou, Alexandra Psarrou, Markos Mentzelopoulos, Javier Montoyo-Bojo, Enrique Domínguez
2013 Lecture Notes in Computer Science  
The acquisition devices are low cost 3D sensors. 3D hand pose will be segmented, characterized and track using growing neural gas (GNG) structure.  ...  We propose the design of a real-time system to recognize and interpret hand gestures.  ...  Gesture Characterization and Recognition with Growing Neural Networks Growing neural gas presented in section 2 is used to characterize hands allowing a reduced topological representation by a graph defining  ... 
doi:10.1007/978-3-642-38682-4_54 fatcat:ejjfsjak5beh5bk5p6wg2nykui

Natural Hand Gestures Recognition System for Intelligent HCI: A Survey

Vishal Nayakwadi, N B Pokale
2013 International Journal of Computer Applications Technology and Research  
Gesture recognition is to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body.  ...  In this paper a survey on various recent gesture recognition approaches is provided with particular emphasis on hand gestures.  ...  [25] recognized static hand gestures using Self-Growing and Self-Organized Neural Gas (SGONG) network.  ... 
doi:10.7753/ijcatr0301.1003 fatcat:3yajjs64nfg4jmi2qliibhpkcu

A Review on Indian Sign Language Recognition

Anuja V.Nair, Bindu V
2013 International Journal of Computer Applications  
There are several neural networking algorithms which can be used for gesture recognition. The different networks are feed forward networks, Elman neural networks, Self-organizing networks etc.  ...  Artificial Neural Networks An artificial neural network [16] involves a network of simple processing elements (artificial neurons) which can exhibit complex global behavior, determined by the connections  ... 
doi:10.5120/13037-0260 fatcat:asgnhpwqwva5tjxhjx5jb23kly
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