Gesture Recognition: Principles, Techniques and Applications - Sriparna Saha,Amit Konar
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Saadetis 17-23 tööpäeva jooksul
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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, detec ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Autor | Sriparna Saha, Amit Konar |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Series | Studies in Computational Intelligence |
| Väljalaskeaasta | 2017 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783319622101 |