Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence)

Amit Konar, Sriparna Saha

  • 出版商: Springer
  • 出版日期: 2017-07-14
  • 售價: $6,420
  • 貴賓價: 9.5$6,099
  • 語言: 英文
  • 頁數: 276
  • 裝訂: Hardcover
  • ISBN: 3319622102
  • ISBN-13: 9783319622101
  • 下單後立即進貨 (約1週~2週)


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.