Gesture Recognition - Principles, Techniques and Applications

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 issufficient 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.

List of 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

Highlights the latest research in gesture recognition
Presents principles, techniques and applications
Written by respected experts in the field

Product details

• Authors: Ami Konar, Amit Konar, Sriparna Saha
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 30.09.2017
• EAN: 9783319622101
• ISBN: 978-3-31-962210-1
• No. of pages: 276
• Dimensions: 162 mm x 244 mm x 23 mm
• Weight: 600 g
• Illustrations: XVIII, 276 p. 99 illus., 73 illus. in color.
• Series: Studies in Computational Intelligence; Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Artificial Intelligence, engineering, pattern recognition, Automated Pattern Recognition, Computational Intelligence, Human–computer interaction, User interface design & usability, User Interfaces and Human Computer Interaction, User interfaces (Computer systems), Pattern recognition systems