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Hand Gesture Recognition For Dumb And Blind Social Communication


Hand Gesture Recognition For Dumb And Blind Social Communication
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Hand Gesture Recognition For Dumb And Blind Social Communication


Hand Gesture Recognition For Dumb And Blind Social Communication
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Author : Shaker Kadhem Ali Al-Sharify
language : en
Publisher:
Release Date : 2020-06-04

Hand Gesture Recognition For Dumb And Blind Social Communication written by Shaker Kadhem Ali Al-Sharify and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with categories.


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.



Gesture And Sign Language In Human Computer Interaction


Gesture And Sign Language In Human Computer Interaction
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Author : Ipke Wachsmuth
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-04-15

Gesture And Sign Language In Human Computer Interaction written by Ipke Wachsmuth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-15 with Computers categories.


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.



Gesture Based Communication In Human Computer Interaction


Gesture Based Communication In Human Computer Interaction
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Author : Annelies Braffort
language : en
Publisher: Springer
Release Date : 2003-06-29

Gesture Based Communication In Human Computer Interaction written by Annelies Braffort and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.


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.



Challenges And Applications For Hand Gesture Recognition


Challenges And Applications For Hand Gesture Recognition
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Author : Kane, Lalit
language : en
Publisher: IGI Global
Release Date : 2022-03-25

Challenges And Applications For Hand Gesture Recognition written by Kane, Lalit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-25 with Computers categories.


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.



Hearing Gesture


Hearing Gesture
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Author : Susan Goldin-Meadow
language : en
Publisher: Harvard University Press
Release Date : 2005-10-31

Hearing Gesture written by Susan Goldin-Meadow and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-31 with Psychology categories.


Many nonverbal behaviors—smiling, blushing, shrugging—reveal our emotions. One nonverbal behavior, gesturing, exposes our thoughts. This book explores how we move our hands when we talk, and what it means when we do so. Susan Goldin-Meadow begins with an intriguing discovery: when explaining their answer to a task, children sometimes communicate different ideas with their hand gestures than with their spoken words. Moreover, children whose gestures do not match their speech are particularly likely to benefit from instruction in that task. Not only do gestures provide insight into the unspoken thoughts of children (one of Goldin-Meadow’s central claims), but gestures reveal a child’s readiness to learn, and even suggest which teaching strategies might be most beneficial. In addition, Goldin-Meadow characterizes gesture when it fulfills the entire function of language (as in the case of Sign Languages of the Deaf), when it is reshaped to suit different cultures (American and Chinese), and even when it occurs in children who are blind from birth. Focusing on what we can discover about speakers—adults and children alike—by watching their hands, this book discloses the active role that gesture plays in conversation and, more fundamentally, in thinking. In general, we are unaware of gesture, which occurs as an undercurrent alongside an acknowledged verbal exchange. In this book, Susan Goldin-Meadow makes clear why we must not ignore the background conversation.



Emerging Trends In Iot And Computing Technologies


Emerging Trends In Iot And Computing Technologies
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Author : Suman Lata Tripathi
language : en
Publisher: Taylor & Francis
Release Date : 2022-10-30

Emerging Trends In Iot And Computing Technologies written by Suman Lata Tripathi and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-30 with Computers categories.


This book includes the proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022) held at Goel Institute of Technology & Management, Lucknow, India.



Face Detection And Gesture Recognition For Human Computer Interaction


Face Detection And Gesture Recognition For Human Computer Interaction
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Author : Ming-Hsuan Yang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Face Detection And Gesture Recognition For Human Computer Interaction written by Ming-Hsuan Yang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


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.



Real Time Hand Gesture Recognition For Mouse Controlling Function


 Real Time Hand Gesture Recognition For Mouse Controlling Function
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Author : Suhas Baliram
language : en
Publisher:
Release Date : 2022-07-25

Real Time Hand Gesture Recognition For Mouse Controlling Function written by Suhas Baliram and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with categories.


Hand gestures are an easy to use and natural way of interaction. Using hands as a device can help people communicate with computers in a more intuitive and natural way. When we interact with other people, our hand movements play an important role and the information they convey is very rich in many ways. We use our hands for pointing at a person or at an object, conveying information about space, shape and temporal characteristics. We constantly use our hands to interact with objects: move them, modify them, and transform them. In the same unconscious way, we gesticulate while speaking to communicate ideas ('stop', 'come closer', 'no', etc). Hand movements are thus a mean of non-verbal communication, ranging from simple actions (pointing at objects for example) to more complex ones (such as expressing feelings or communicating with others). In this sense, gestures are not only an ornament of spoken language, but are essential components of the language generation process itself [1].



Congress On Smart Computing Technologies


Congress On Smart Computing Technologies
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2023-07-10

Congress On Smart Computing Technologies written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with Technology & Engineering categories.


This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2022) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 3–4 December 2022. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human–computer interaction.



Deep Learning Research Applications For Natural Language Processing


Deep Learning Research Applications For Natural Language Processing
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Author : Ashok Kumar, L.
language : en
Publisher: IGI Global
Release Date : 2022-12-09

Deep Learning Research Applications For Natural Language Processing written by Ashok Kumar, L. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.


Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.