Gesture recognition : principles, techniques and applications 1st ed.

Author

• Konar, Amit

Additional Author(s)

• Saha, Sriparna

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319622125

Series

Studies in computational intelligence 724

Subject(s)

• HUMAN-COMPUTER INTERACTION
• PATTERN PERCEPTION
• PATTERN RECOGNITION SYSTEMS

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xviii, 276 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01530/20	006.4 Kon G	Online !	Available