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Book Hand Gesture Recognition Using Artificial Neural Networks

Download or read book Hand Gesture Recognition Using Artificial Neural Networks written by Mohd Amrallah Mustafa and published by . This book was released on 2007 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hand gesture has been part of human communication, where, young children usually communicate by using gesture before they can talk. Adults may have also gesture if they need to or they are indeed mute or deaf. Thus the idea of teaching a machine to also learn gesture is very appealing due to its unique mode of communications. A reliable hand gesture recognition system will make the remote control become obsolete. However, ,any of the a new techniques proposed are complicated to be implemented in real time, especially as a human machine interface. This thesis focuses on recognizing hand gesture in static posture. Since static hand postures not only can express some concepts, but also can act as special transition states in temporal gestures recognition, thus estimating static hand postures is in fact a big topics in gesture recognition. A database consists of 200 gesture images have been built, where five volunteers had help in the making of the database. The images were captured in a controlled enviroment and the postures are free from occulation where the background is uncluttered and the hand is assumed to have been localized. A system was then built to recognize the hand gesture. The captured image will be first preprocessed in order to binarize the palm region, where Sobel edge detection technique has been employed, with later followed by morphological operation. A new feature extraction technique has been developed, based on horizontal and vertical states transition count, and the ration of hand area with the respect to whole area of image. These set of features have been proven to have high intra class dissimilarity attributes. In order to have a system that can be easily trained, artificial neural networks has been chosen in the classification stage. A multilayer perceptron with back-propagation algorithm has been developed, thus the system is actually in-built to be used as a human machine interface. The gesture recognition system has been built and tested in Matlab. Where simulations have shown promising results. The performance of recognition rate in this research is 95% which shows a major improvement in comparison to the available methods.

Book Hand Gesture Recognition Using Neural Networks

Download or read book Hand Gesture Recognition Using Neural Networks written by and published by . This book was released on 1996 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gestural interfaces have the potential of enhancing control operations in numerous applications. For Air Force systems, machine-recognition of whole-hand gestures may be useful as an alternative controller, especially when conventional controls are less accessible. The objective of this effort was to explore the utility of a neural network-based approach to the recognition of whole-hand gestures. Using a fiber-optic instrumented glove, gesture data were collected for a set of static gestures drawn from the manual alphabet used by the deaf. Two types of neural networks (multilayer perceptron and Kohonen self-organizing feature map) were explored. Both showed promise, but the perceptron model was quicker to implement and classification is inherent in the model. The high gesture recognition rates and quick network retraining times found in the present study suggest that a neural network approach to gesture recognition be further evaluated.

Book Challenges and Applications for Hand Gesture Recognition

Download or read book Challenges and Applications for Hand Gesture Recognition written by Kane, Lalit and published by IGI Global. This book was released on 2022-03-25 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.

Book 2020 IEEE Andescon

    Book Details:
  • Author : IEEE Staff
  • Publisher :
  • Release : 2020-10-13
  • ISBN : 9781728193663
  • Pages : pages

Download or read book 2020 IEEE Andescon written by IEEE Staff and published by . This book was released on 2020-10-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ANDESCON is the biannual Technical and Scientific Conference of the Andean Council of the IEEE that brings together IEEE professionals and scientists from the Andean countries The tenth edition of this IEEE event will be held in the wonderful city of Quito in Ecuador As of 2019, about 1,978,376 people lived there Quito is the second largest city in Ecuador after Guayaquil The Historic Center of Quito, Ecuador is one of the largest, least changed and best preserved historic centers in the Americas Quito was designated a World Cultural Heritage Site by UNESCO in 1978 It is the first city to be honored in such a way

Book Robust Hand Gesture Recognition for Robotic Hand Control

Download or read book Robust Hand Gesture Recognition for Robotic Hand Control written by Ankit Chaudhary and published by Springer. This book was released on 2017-06-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping of the segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers’ angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.

Book Advanced Computing

    Book Details:
  • Author : Natarajan Meghanathan
  • Publisher : Springer
  • Release : 2010-12-25
  • ISBN : 3642178812
  • Pages : 511 pages

Download or read book Advanced Computing written by Natarajan Meghanathan and published by Springer. This book was released on 2010-12-25 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the third of three parts of the refereed proceedings of the First International Conference on Computer Science and Information Technology, CCSIT 2010, held in Bangalore, India, in January 2011. The 46 revised full papers presented in this volume were carefully reviewed and selected. The papers are organized in topical sections on soft computing, such as AI, Neural Networks, Fuzzy Systems, etc.; distributed and parallel systems and algorithms; security and information assurance; ad hoc and ubiquitous computing; wireless ad hoc networks and sensor networks.

Book Artificial Neural Networks and Machine Learning    ICANN 2013

Download or read book Artificial Neural Networks and Machine Learning ICANN 2013 written by Valeri Mladenov and published by Springer. This book was released on 2013-09-04 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Book Hand Gesture Recognition for Dumb and Blind Social Communication

Download or read book Hand Gesture Recognition for Dumb and Blind Social Communication written by Shaker Kadhem Ali Al-Sharify and published by . This book was released on 2020-06-04 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gestures communication between dumbs and other people using the expression of signs language an algorithm for recognizing hand gestures of (letters or numbers or words) to by using dumb (through signs) and convert the sings into voice corresponding to sings.Gestures are one of the best ways of communication between dumbs and other people using the expression of signs language. In this book, we suggest an algorithm for recognizing hand gestures of Arabic (letters or numbers or words) to by using dumb (through signs) and convert the sings into voice corresponding to sings (letters or numbers or words). The proposed algorithm use video for the gesture of the dumb then convert the video into frames ( images), preprocessing for the resulted image must be done by removing the noise, resize the images and increase the contrast, then calculate the distance to clustering the words by using (C4.5, k-mean, k- medoid and artificial neural network), calculate the distance ( or features) by using Euclidean distance and slope where, there are eighteen features (eight features from Euclidean distance, eight features from slop, Area, and perimeter). The results in the training stage were (C4.5 gave 99.8664%, k-mean gave 97.7930%, k-medoid gave 97.3620%and ANN gave 96.538% ). While in the testing stage we used three classifiers (Euclidian Distance, Modify of the Standardize Euclidian Distance and Correlation) and the results show that (Euclidian Distance gave 94.7368%, Modify of the Standardize Euclidian Distance gave 98.2456% and Correlation gave 96.4912%) We create our database (ten videos with 814 frames.

Book Human Computer Interaction Using Hand Gestures

Download or read book Human Computer Interaction Using Hand Gestures written by Prashan Premaratne and published by Springer Science & Business Media. This book was released on 2014-03-20 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their 'lounge.' This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI.

Book Radar Micro Doppler Signatures

Download or read book Radar Micro Doppler Signatures written by Victor C. Chen and published by IET. This book was released on 2014-05-30 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a growing interest in how to use radar micro-Doppler signatures in real world applications. This book introduces basic concepts, principles, and theoretical analysis on the micro-Doppler effect in radar and pulls together the latest research on the processing and application of radar micro-Doppler signatures. Its goal is to provide readers with a working knowledge on various applications of radar micro-Doppler signatures. It reviews the current progress, challenges, and perspectives on radar micro-Doppler research and introduces research on bi-static/multi-static micro-Doppler signatures, decomposition of micro-Doppler signatures, through-wall radar micro-Doppler signatures and ultrasound micro-Doppler signature studies. Most chapters deal with applications of radar micro-Doppler signatures, including detection, tracking and discrimination of vehicles and dismounts, identifying human movement based on radar micro-Doppler signatures, detection and tracking small boats in the sea, detection and discrimination complex motion of missile warheads, discrimination of animals and the detection and tracking of birds. Supplementary material can be found at the IET's ebook page

Book 2021 4th International Conference of Computer and Informatics Engineering  IC2IE

Download or read book 2021 4th International Conference of Computer and Informatics Engineering IC2IE written by IEEE Staff and published by . This book was released on 2021-09-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things Biomedical Engineering and Bioinformatics Information Systems and Technologies Networks and Telecommunication Systems Robotics, Control and Automation Signal, Image and Video Processing Soft Computing and Intelligent System Computer Network and Architecture Content Based Multimedia Retrieval Digital Forensic Distributed System E Learning & Distance Learning Enterprise Information System High Performance Computing Information Retrieval Information Security & Risk Management Infrastructure Systems and Services Knowledge Data Discovery Software Engineering Multimedia Application Parallel Programming Pattern Recognition Remote Sensing Software Engineering E Business & E Commerce Human Computer Interaction Information System Natural Language Processing Pattern Recognition Artificial Intelligence Cloud & Grid Computing E Government& IT Governance Embedded System Image Processing & Computer Vision Geographic Information System

Book Futuristic Communication and Network Technologies

Download or read book Futuristic Communication and Network Technologies written by A. Sivasubramanian and published by Springer Nature. This book was released on 2021-10-11 with total page 1024 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the International Conference on Futuristic Communication and Network Technologies (CFCNT 2020) conducted at Vellore Institute of Technology, Chennai. It covers various domains in communication engineering and networking technologies. This volume comprises of recent research in areas like optical communication, optical networks, optics and optical computing, emerging trends in photonics, MEMS and sensors, active and passive RF components and devices, antenna systems and applications, RF devices and antennas for microwave emerging technologies, wireless communication for future networks, signal and image processing, machine learning/AI for networks, internet of intelligent things, network security and blockchain technologies. This book will be useful for researchers, professionals, and engineers working in the core areas of electronics and communication.

Book Dynamic Hand Gesture Recognition Using Neural Networks

Download or read book Dynamic Hand Gesture Recognition Using Neural Networks written by Alexandru Matei and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Rude Hand Gestures of the World

Download or read book Rude Hand Gestures of the World written by Romana Lefevre and published by Chronicle Books. This book was released on 2011-10-21 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this illustrated guide, discover what hand gestures can offend others around the world—and whether you avoid making them or not is up to you. A hand gesture is arguably the most effective form of expression, whether you’re defaming a friend’s mother or telling a perfect stranger to get lost. Learn how to go beyond just flipping the bird with this illustrated guide to rude hand gestures all around the world, from asking for sex in the Middle East to calling someone crazy in Italy. Detailed photographs of hand models and subtle tips for proper usage make Rude Hand Gestures of the World the perfect companion for globe-trotters looking to offend. “If you’ve resolved to make the most of your travels, a copy of Rude Hand Gestures of the World to know what gestures you should avoid while abroad. Better safe than sorry!” —Buzzfeed

Book Proceedings of the Third International Conference on Computational Intelligence and Informatics

Download or read book Proceedings of the Third International Conference on Computational Intelligence and Informatics written by K. Srujan Raju and published by Springer Nature. This book was released on 2020-03-17 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.