Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Gesture recognition : principles, techniques and applications / Amit Konar, Sriparna Saha.
ISBN
9783319622125 (electronic book)
3319622129 (electronic book)
9783319622101
3319622102
Published
Cham, Switzerland : Springer, [2018].
Language
English
Description
1 online resource (xviii, 276 pages) : illustrations.
Item Number
10.1007/978-3-319-62212-5 doi
Call Number
TK7882.P3
Dewey Decimal Classification
006.4
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, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 14, 2017).
Series
Studies in computational intelligence ; v. 724. 1860-949X
Available in Other Form
Print version: 3319622102
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.
