Gesture Recognition Principles, Techniques and Applications / [electronic resource] :
by Amit Konar, Sriparna Saha.
- 1st ed. 2018.
- XVIII, 276 p. 99 illus., 73 illus. in color. online resource.
- Studies in Computational Intelligence, 724 1860-9503 ; .
- Studies in Computational Intelligence, 724 .
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.
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.
9783319622125
10.1007/978-3-319-62212-5 doi
Computational intelligence. Artificial intelligence. User interfaces (Computer systems). Human-computer interaction. Pattern recognition systems. Computational Intelligence. Artificial Intelligence. User Interfaces and Human Computer Interaction. Automated Pattern Recognition.