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Gesture Recognition: Principles, Techniques and Applications: 724 (Studies in Computational Intelligence) - Tapa blanda
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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.
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- EditorialSpringer
- Año de publicación2018
- ISBN 10 3319872591
- ISBN 13 9783319872599
- EncuadernaciónTapa blanda
- Número de páginas296
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Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence (724)) by Konar, Amit [Paperback ]
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ISBN 10: 3319872591
ISBN 13: 9783319872599
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Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence, 724)
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Gesture Recognition : Principles; Techniques and Applications
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Gesture Recognition
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Descripción Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 296 pp. Englisch. Nº de ref. del artículo: 9783319872599
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Gesture Recognition
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ISBN 10: 3319872591
ISBN 13: 9783319872599
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Descripción Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 c. Nº de ref. del artículo: 448760536
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Gesture Recognition : Principles, Techniques and Applications
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Springer International Publishing
(2018)
ISBN 10: 3319872591
ISBN 13: 9783319872599
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Descripción Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 issufficient 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. Nº de ref. del artículo: 9783319872599
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Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence, 724)
Publicado por
Springer
(2018)
ISBN 10: 3319872591
ISBN 13: 9783319872599
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Descripción Paperback. Condición: New. New. book. Nº de ref. del artículo: ERICA79633198725916
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