Overview
- Highlights the latest research in gesture recognition
- Presents principles, techniques and applications
- Written by respected experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 724)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Gesture Recognition
Book Subtitle: Principles, Techniques and Applications
Authors: Amit Konar, Sriparna Saha
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-62212-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-62210-1Published: 14 July 2017
Softcover ISBN: 978-3-319-87259-9Published: 18 August 2018
eBook ISBN: 978-3-319-62212-5Published: 04 July 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 276
Number of Illustrations: 26 b/w illustrations, 73 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, User Interfaces and Human Computer Interaction, Pattern Recognition