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Gesture Recognition Principles, Techniques and Applications /
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...
Asıl Yazarlar: | , |
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Müşterek Yazar: | |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Edisyon: | 1st ed. 2018. |
Seri Bilgileri: | Studies in Computational Intelligence,
724 |
Konular: | |
Online Erişim: | Full-text access OPAC'ta görüntüle |
Özet: | 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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Fiziksel Özellikler: | XVIII, 276 p. 99 illus., 73 illus. in color. online resource. |
ISBN: | 9783319622125 |
ISSN: | 1860-9503 ; |
DOI: | 10.1007/978-3-319-62212-5 |