Robust Hand Gesture Recognition for Robotic Hand Control, Ankit Chaudhary

Автор: Amit Konar; Sriparna Saha
Название: Gesture Recognition
ISBN: 3319622102 ISBN-13(EAN): 9783319622101
Издательство: Springer
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Описание: 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.

Автор: Sergio Escalera; Isabelle Guyon; Vassilis Athitsos
Название: Gesture Recognition
ISBN: 331957020X ISBN-13(EAN): 9783319570204
Издательство: Springer
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Описание: This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences.

Автор: Ming-Hsuan Yang; Narendra Ahuja
Название: Face Detection and Gesture Recognition for Human-Computer Interaction
ISBN: 146135546X ISBN-13(EAN): 9781461355465
Издательство: Springer
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Описание: Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Computer graphics, image processing, and video databases have obvious overlap with computer vision.

Автор: Stefan Kopp; Ipke Wachsmuth
Название: Gesture in Embodied Communication and Human Computer Interaction
ISBN: 3642125522 ISBN-13(EAN): 9783642125522
Издательство: Springer
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Описание: Constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Gesture in Embodied Communication and Human-Computer Interaction, GW 2009, that was held in Bielefeld, Germany, February 2009.

Автор: Ipke Wachsmuth; Martin Fr?hlich
Название: Gesture and Sign Language in Human-Computer Interaction
ISBN: 3540644245 ISBN-13(EAN): 9783540644248
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The 25 papers in this volume discuss gesture and sign language in human-computer interaction. They are organized in sections on semiotics for gesture movement, hidden Markov models, motion analysis and synthesis, multi-modal interfaces, neural network methods, and applications.

Автор: Prashan Premaratne
Название: Human Computer Interaction Using Hand Gestures
ISBN: 9811011818 ISBN-13(EAN): 9789811011818
Издательство: Springer
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Цена: 14365.00 р.
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Описание: As well as covering state-of-the-art approaches to computer hand gesture recognition, this work is a valuable primer for researchers aiming to move into the world of HCI. Written by experts, it shows how HCI is transforming our relations with technology.

Автор: Prashan Premaratne
Название: Human Computer Interaction Using Hand Gestures
ISBN: 9814585688 ISBN-13(EAN): 9789814585682
Издательство: Springer
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Цена: 18167.00 р.
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Описание: As well as covering state-of-the-art approaches to computer hand gesture recognition, this work is a valuable primer for researchers aiming to move into the world of HCI. Written by experts, it shows how HCI is transforming our relations with technology.

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 36570.00 р.
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Автор: Patricia Melin; Oscar Castillo
Название: Soft Computing Applications in Optimization, Control, and Recognition
ISBN: 3642353223 ISBN-13(EAN): 9783642353222
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.

Автор: Peter K. Allen
Название: Robotic Object Recognition Using Vision and Touch
ISBN: 1461291968 ISBN-13(EAN): 9781461291961
Издательство: Springer
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Описание: CHAPTER 7: MATCHING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 7. 1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 7. 2 Design of the matcher . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 7. 3 Model instantiation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 7. 3. 1 Discrimination by size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7. 3. 2 Discrimination by gross shape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7. 3. 3 Feature attribute matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7. 3. 4 Surface attribute matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 7. 3. 5 Classifying surfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 7. 3. 6 Relational consistency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 3. 7 Ordering matches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 7. 4 Verification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 7. 4. 1 Computing model-to-scene transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 7. 4. 2 Matching feature frames . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 7. 4. 3 Matching surface frames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 7. 4. 4 Verification sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 7. 5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 CHAPTER 8: EXPERIMENTAL RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 8. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 8. 2 Experiment 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 8. 3 Experiment 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 8. 4 Experiment 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 8. 5 Experiment 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 8. 6 Experiment 5 . . . . . . . . . .

Автор: Patricia Melin; Oscar Castillo
Название: Soft Computing Applications in Optimization, Control, and Recognition
ISBN: 3642443923 ISBN-13(EAN): 9783642443923
Издательство: Springer
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Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.

Автор: Jinyu Li
Название: Robust Automatic Speech Recognition
ISBN: 0128023988 ISBN-13(EAN): 9780128023983
Издательство: Elsevier Science
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Цена: 16842.00 р.
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Описание:

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: