Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence, 724)

Konar, Amit; Saha, Sriparna

ISBN 10: 3319872591 / ISBN 13: 9783319872599

Published by Springer, 2018

About this Item

In.

Seller Inventory # ria9783319872599_new

Bibliographic Details

• Title: Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence, 724)
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319872591
• ISBN 13: 9783319872599
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Highlights the latest research in gesture recognition

Presents principles, techniques and applications

Written by respected experts in the field

From the Back Cover

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.