Gesture Recognition Principles, Techniques and Applications /

• Main Authors: Konar, Amit (Author, http://id.loc.gov/vocabulary/relators/aut), Saha, Sriparna (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 724
• Subjects: Computational intelligence.; Artificial intelligence.; User interfaces (Computer systems).; Pattern recognition.; Computational Intelligence.; Artificial Intelligence.; User Interfaces and Human Computer Interaction.; Pattern Recognition.

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...

Table 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.