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Opis

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.

Szczegóły książki

Kategoria Books in English Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Gesture Recognition
• Autor: Amit Konar, Sriparna Saha
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 276
• EAN: 9783319622101
• ISBN: 3319622102
• ID: 16420505
• Wydawca: Springer International Publishing AG
• Waga: 5679 g
• Wymiary: 235 × 155 × 24 mm
• Data wydania: 14. July 2017

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