Gesture recognition : principles, techniques and applications
- Responsibility
- Amit Konar, Sriparna Saha.
- Digital
- text file; PDF
- Publication
- Cham, Switzerland : Springer, [2018]
- Physical description
- 1 online resource (xviii, 276 pages) : illustrations (some color)
- Series
- Studies in computational intelligence ; v. 724. 1860-949X
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Konar, Amit, author.
- Contributor
- Saha, Sriparna, author.
Contents/Summary
- Bibliography
- Includes bibliographical references and index.
- 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.
- (source: Nielsen Book Data)
- Publisher's 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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2018
- Series
- Studies in computational intelligence, 1860-949X ; volume 724
- ISBN
- 9783319622125 (electronic bk.)
- 3319622129 (electronic bk.)
- 9783319622101 (print)
- 3319622102
- DOI
- 10.1007/978-3-319-62212-5
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