Description |
1 online resource (xviii, 276 pages) : illustrations (some color) |
Series |
Studies in computational intelligence, 1860-949X ; volume 724 |
|
Studies in computational intelligence ; v. 724. 1860-949X
|
Contents |
Introduction -- Radon Transform based Automatic Posture Recognition in Ballet Dance -- Fuzzy Image Matching Based Posture Recognition in Ballet Dance -- Gesture Driven Fuzzy Interface System For Car Racing Game -- Type-2 Fuzzy Classifier based Pathological Disorder Recognition -- Probabilistic Neural Network based Dance Gesture Recognition -- Differential Evolution based Dance Composition -- EEG-Gesture based Artificial Limb Movement for Rehabilitative Applications -- Conclusions and Future Directions -- Index |
Summary |
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 |
Bibliography |
Includes bibliographical references and index |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed July 14, 2017) |
Subject |
Pattern recognition systems.
|
|
Human-computer interaction.
|
|
Artificial intelligence.
|
|
User interface design & usability.
|
|
Pattern recognition.
|
|
Computers -- Intelligence (AI) & Semantics.
|
|
Computers -- User Interfaces.
|
|
Computers -- Computer Vision & Pattern Recognition.
|
|
Human-computer interaction
|
|
Pattern recognition systems
|
Form |
Electronic book
|
Author |
Saha, Sriparna, author.
|
ISBN |
9783319622125 |
|
3319622129 |
|