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

Konar, Amit; Saha, Sriparna

ISBN 10: 3319872591 / ISBN 13: 9783319872599

Editore: Springer, 2018

Riguardo questo articolo

Codice articolo ABLIING23Mar3113020110889

Dati bibliografici

Titolo: Gesture Recognition: Principles, Techniques ...

Casa editrice: Springer

Data di pubblicazione: 2018

Legatura: Brossura

Condizione: New

Descrizione articolo

Riassunto:

Highlights the latest research in gesture recognition

Presents principles, techniques and applications

Written by respected experts in the field

Dalla quarta di copertina:

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.