Gesture Recognition
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160,49 €
Principles, Techniques and Applications, Studies in Computational Intelligence 724
| ISBN: |
3319622102 |
| ISBN 13: |
9783319622101 |
| Autor: |
Konar, Amit/Saha, Sriparna |
| Verlag: |
Springer Verlag GmbH |
| Umfang: |
xviii, 276 S., 26 s/w Illustr., 73 farbige Illustr., 276 p. 99 illus., 73 illus. in color. |
| Erscheinungsdatum: |
14.07.2017 |
| Auflage: |
1/2018 |
| Produktform: |
Gebunden/Hardback |
| Einband: |
Gebunden |
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.