| Gesture Recognition: Principles, Techniques and Applications Softcover Repri Edition Contributor(s): Konar, Amit (Author), Saha, Sriparna (Author) |
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ISBN: 3319872591 ISBN-13: 9783319872599 Publisher: Springer OUR PRICE: $113.99 Product Type: Paperback - Other Formats Published: August 2018 |
| Additional Information |
| BISAC Categories: - Computers | User Interfaces - Computers | Computer Vision & Pattern Recognition - Computers | Human-computer Interaction (hci) |
| Dewey: 005.437 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.62" H x 6.14" W x 9.21" (0.92 lbs) 276 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |