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

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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.

keywords:distribution algorithms,designing algorithms,data security algorithms,image analysis algorithms,data analytics algorithms,

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eBook Details:
Category: Algorithms
Author: Amit Konar
Language: English
ISBN10: 3319622102
ISBN13: 9783319622101
Pages: 276
PubDate: 2017-08-07 00:00:00
UploadDate: 7/5/2017 9:27:30 am

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