Download or read book Hand Gesture Recognition Using Artificial Neural Networks for Human Computer Interface written by Kok Ting Tee and published by . This book was released on 2013 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Face Detection and Gesture Recognition for Human Computer Interaction written by Ming-Hsuan Yang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Download or read book Gesture and Sign Language in Human Computer Interaction written by Ipke Wachsmuth and published by Springer Science & Business Media. This book was released on 1998-04-15 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed post-workshop proceedings of an International Workshop on Gesture and Sign Language in Human-Computer Interaction held in Bielefeld, Germany, in 1997. The book presents 25 revised papers together with two invited lectures. Recently, gesture and sign language have become key issues for advanced interface design in the humanization of computer interaction: AI, neural networks, pattern recognition, and agent techniques are having a significant impact on this area of research and development. The papers are organized in sections on semiotics for gesture movement, hidden Markov models, motion analysis and synthesis, multimodal interfaces, neural network methods, and applications.

Download or read book Gesture and Sign Languages in Human Computer Interaction written by Ipke Wachsmuth and published by Springer. This book was released on 2003-07-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Gesture and Sign Languages in Human-Computer Interaction, GW 2001, held in London, UK, in April 2001. The 25 revised full papers and 8 short papers were carefully reviewed and selected for inclusion in the post-proceedings. The papers are organized in topical sections on gesture recognition, recognition of sign languages, nature and notations of sign languages, gesture and sign language synthesis, gestural action and interaction, and applications based on gesture control.

Download or read book Gesture Based Communication in Human Computer Interaction written by Annelies Braffort and published by Springer. This book was released on 2003-06-29 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the International Gesture Workshop, GW'99, held in Gif-sur-Yvette, France, in March 1999. The 16 revised long papers and seven revised short papers were carefully reviewed for inclusion in the book. Also included are four invited papers and the transcription of a round table discussion. The papers are organized in sections on human perception and production of gesture, localization and segmentation, recognition, sign language, gesture synthesis and animation, and multimodality.

Download or read book Gesture Based Communication in Human Computer Interaction written by Antonio Camurri and published by Springer. This book was released on 2011-04-02 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the multifaceted aspects of modeling, analysis, and synthesis of - man gesture is receiving growing interest from both the academic and industrial communities. On one hand, recent scienti?c developments on cognition, on - fect/emotion, on multimodal interfaces, and on multimedia have opened new perspectives on the integration of more sophisticated models of gesture in c- putersystems.Ontheotherhand,theconsolidationofnewtechnologiesenabling “disappearing” computers and (multimodal) interfaces to be integrated into the natural environments of users are making it realistic to consider tackling the complex meaning and subtleties of human gesture in multimedia systems, - abling a deeper, user-centered, enhanced physical participation and experience in the human-machine interaction process. The research programs supported by the European Commission and s- eral national institutions and governments individuated in recent years strategic ?elds strictly concerned with gesture research. For example, the DG Infor- tion Society of the European Commission (www.cordis.lu/ist) supports several initiatives, such as the “Disappearing Computer” and “Presence” EU-IST FET (Future and Emerging Technologies), the IST program “Interfaces & Enhanced Audio-Visual Services” (see for example the project MEGA, Multisensory - pressive Gesture Applications, www.megaproject.org), and the IST strategic - jective “Multimodal Interfaces.” Several EC projects and other funded research are represented in the chapters of this book. Awiderangeofapplicationscanbene?tfromadvancesinresearchongesture, from consolidated areas such as surveillance to new or emerging ?elds such as therapy and rehabilitation, home consumer goods, entertainment, and aud- visual, cultural and artistic applications, just to mention only a few of them.

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.

Download or read book Gesture Recognition written by Qiguang Miao and published by Elsevier. This book was released on 2024-07-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gesture Recognition: Theory and Applications covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms. The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies. The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms. Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced. Finally, the book looks at emerging research trends and application. Focuses on the theory and application of gesture recognition, providing a systematic introduction to commonly used datasets in the field as well as algorithms based on handcrafted features, convolutional neural networks, multimodal fusion, and attention mechanisms Introduces the practical applications of gesture recognition in real-world scenarios, enabling readers to enhance their practical application skills while learning about relevant technologies Demonstrates four main categories of gesture recognition methods and analyzes their associated challenges

Download or read book Advanced Intelligent Computing Theories and Applications written by De-Shuang Huang and published by Springer. This book was released on 2010-08-14 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Download or read book Gesture Recognition 48 Success Secrets 48 Most Asked Questions on Gesture Recognition What You Need to Know written by Phyllis Bruce and published by Emereo Publishing. This book was released on 2014-02 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gesture recognition' is a subject in computer discipline and lingo technics with the objective of explaining mortal signals through arithmetical calculations. Gestures may stem as of whatever animal motion either state however normally stem as of the face either hand. Current centers in the area contain chord acknowledgment as of the face and hand gesticulation acknowledgment. There has never been a Gesture recognition Guide like this. It contains 48 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Gesture recognition. A quick look inside of some of the subjects covered: Hidden Markov model, Gesture recognition, Macintosh - Hardware, Finger tracking - Other tracking techniques, Augmented reality - Input devices, Human-computer interaction - Factors of change, Asimo - Abilities, Qualcomm - Acquisitions, Macintosh computer - Hardware, Immersive technology - Interaction, Kinect - Technology, Artificial intelligence systems integration - OpenAIR Protocol, Outline of Apple Inc. - Companies, Affective computing - Body gesture, Samsung Galaxy S II Plus - Software and services, Ben Goertzel - Papers, Wii Remote, Artificial neural network -, Handheld projectors - Hand gesture recognition, PenPoint OS - Awards and innovation, OpenCV - Applications, FingerWorks, Jaron Lanier - Musical performances, Gesture recognition - Algorithms, Google Inc. - Acquisitions and partnerships, Machine learning - Software, Omek Interactive - Company overview, Tablet computer - Modbook, Finger tracking - Tracking without interface, Tablet computer - Features, Artificial intelligence (video games) - Usage, Ultrabook - History, Remote control - Alternatives, and much more...

Download or read book Data Science and Security written by Dharm Singh Jat and published by Springer Nature. This book was released on 2020-07-31 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.

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

Download or read book Gesture Recognition written by Amit Konar and published by Springer. This book was released on 2017-07-04 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.

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.

Download or read book Vision Based Human Activity Recognition written by Zhongxu Hu and published by Springer Nature. This book was released on 2022-04-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.

Download or read book Gesture in Human Computer Interaction and Simulation written by Sylvie Gibet and published by Springer Science & Business Media. This book was released on 2006-03-16 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Gesture in Human-Computer Interaction and Simulation, GW 2005, held in May 2005. The 22 revised long papers and 14 revised short papers presented together with 2 invited lectures were carefully selected from numerous submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on human perception and production of gesture, sign language representation, sign language recognition, vision-based gesture recognition, gesture analysis, gesture synthesis, gesture and music, and gesture interaction in multimodal systems.