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Gesture Recognition - Amit Konar, Sriparna Saha

Gesture Recognition

Principles, Techniques and Applications
Buch | Hardcover
XVIII, 276 Seiten
2017 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-62210-1 (ISBN)
CHF 224,65 inkl. MwSt
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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.

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.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XVIII, 276 p. 99 illus., 73 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 608 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Body Language Studies • Communication Body Movement • Computational Intelligence • Control Through Facial Gestures • Engineering • Engineering: general • gesture recognition • HMI Non-Contact • pattern recognition • Robotics • user interface design & usability • User interface design & usability • user interfaces and human computer interaction
ISBN-10 3-319-62210-2 / 3319622102
ISBN-13 978-3-319-62210-1 / 9783319622101
Zustand Neuware
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