Gesture Recognition / Studies in Computational Intelligence Bd.724 (PDF)
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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, 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.
- Autoren: Amit Konar , Sriparna Saha
- 2017, 1st ed. 2018, 276 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319622129
- ISBN-13: 9783319622125
- Erscheinungsdatum: 04.07.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 10 MB
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