Gesture recognition : principles, techniques and applications / Amit Konar, Sriparna Saha.

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Gesture recognition : principles, techniques and applications / Amit Konar, Sriparna Saha.

9783319622125 (electronic book)
3319622129 (electronic book)
9783319622101
3319622102

Cham, Switzerland : Springer, [2018].

English

1 online resource (xviii, 276 pages) : illustrations.

10.1007/978-3-319-62212-5 doi

TK7882.P3

006.4

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.

Includes bibliographical references and index.

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text file PDF

Online resource; title from PDF title page (SpringerLink, viewed July 14, 2017).

Studies in computational intelligence ; v. 724. 1860-949X

Print version: 3319622102

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