Gesture Recognition - Principles, Techniques and Applications (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 724
Release date:	July 2017
First published:	2018
Authors:	Amit Konar • Sriparna Saha
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	276
Edition:	1st ed. 2018
ISBN-13:	978-3-319-62210-1
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
LSN:	3-319-62210-2
Barcode:	9783319622101

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