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...

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Bibliographic Details
Main Authors: Konar, Amit (Author), Saha, Sriparna (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 724
Subjects:
Computational intelligence.
Artificial intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Pattern recognition systems.
Computational Intelligence.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Automated Pattern Recognition.
Online Access:Full-text access
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Description
Summary: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.
Physical Description:XVIII, 276 p. 99 illus., 73 illus. in color. online resource.
ISBN:9783319622125
ISSN:1860-9503 ;
DOI:10.1007/978-3-319-62212-5

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