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Softcover - 9783319872599
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Beschreibung
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.
Principles, Techniques and Applications
Principles, Techniques and Applications
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 14. Juli 2017 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 5679 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783319622101 |
| Auflage | 1st ed. 2018 |
| Seiten | 276 |
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