Автор: Ankit Chaudhary Название: Robust Hand Gesture Recognition for Robotic Hand Control ISBN: 9811047979 ISBN-13(EAN): 9789811047978 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator.
Автор: Amit Konar; Sriparna Saha Название: Gesture Recognition ISBN: 3319622102 ISBN-13(EAN): 9783319622101 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: Sergio Escalera; Isabelle Guyon; Vassilis Athitsos Название: Gesture Recognition ISBN: 331957020X ISBN-13(EAN): 9783319570204 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Amit Konar; Sriparna Saha Название: Gesture Recognition ISBN: 3319872591 ISBN-13(EAN): 9783319872599 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: 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.
Автор: Ipke Wachsmuth; Martin Fr?hlich Название: Gesture and Sign Language in Human-Computer Interaction ISBN: 3540644245 ISBN-13(EAN): 9783540644248 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Stefan Kopp; Ipke Wachsmuth Название: Gesture in Embodied Communication and Human Computer Interaction ISBN: 3642125522 ISBN-13(EAN): 9783642125522 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Annelies Braffort; Rachid Gherbi; Sylvie Gibet; Ja Название: Gesture-Based Communication in Human-Computer Interaction ISBN: 3540669353 ISBN-13(EAN): 9783540669357 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers in this text are organized in sections on human perception and production of gesture; localization and segmentation; recognition; sign language; gesture synthesis and animation; and multimodality.
Автор: Prashan Premaratne Название: Human Computer Interaction Using Hand Gestures ISBN: 9814585688 ISBN-13(EAN): 9789814585682 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: S. Kevin Zhou; Wen-Yi Zhao; Xiaoou Tang; Shaogang Название: Analysis and Modeling of Faces and Gestures ISBN: 3540756892 ISBN-13(EAN): 9783540756897 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held in Rio de Janeiro, Brazil, in October 2007 within the scope of ICCV 2007, the International Conference on Computer Vision. This book presents 8 revised full papers together with 13 revised poster papers.
Описание: This volume brings together the peer-reviewed contributions of the participants at the COST 2102 International Conference on "Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions" held in Prague, Czech Republic, October 15-18, 2008.
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