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商品詳細
Gesture Recognition: Principles, Techniques and Applications. Softcover reprint of the original 1st ed. 2018
・ISBN 978-3-319-87259-9 paper EUR 109.99
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| 著者・編者 | Konar, Amit / Saha, Sriparna, |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 276 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-83878＞ |
解説
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 issufficient 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.