Name: Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence) (en Inglés)
Price: 542.86 PEN
Availability: InStock
Author: Amit Konar; Sriparna Saha
ISBN: 9783319872599

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

Formato

Libro Físico

Editorial

Springer

Autor

Amit Konar; Sriparna Saha

Año

2019

Idioma

Inglés

N° páginas

296

Encuadernación

Tapa Blanda

ISBN13

9783319872599

Categorías

Reconocimiento de formas
Visión por ordenador

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

Amit Konar; Sriparna Saha (Autor) · Springer · Tapa Blanda

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S/ 542,86

S/ 1.085,71

Ahorras: S/ 542,86

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence) (en Inglés)"

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.