Gesture Recognition

Lieferzeit: Lieferbar innerhalb 14 Tagen

117,69 

Principles, Techniques and Applications, Studies in Computational Intelligence 724

ISBN: 3319872591
ISBN 13: 9783319872599
Autor: Konar, Amit/Saha, Sriparna
Verlag: Springer Verlag GmbH
Umfang: xviii, 276 S., 26 s/w Illustr., 73 farbige Illustr., 276 p. 99 illus., 73 illus. in color.
Erscheinungsdatum: 18.08.2018
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 6775774 Kategorie:

Beschreibung

Highlights the latest research in gesture recognition Presents principles, techniques and applications Written by respected experts in the field

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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