TY - BOOK AU - Konar,Amit AU - Saha,Sriparna ED - SpringerLink (Online service) TI - Gesture Recognition: Principles, Techniques and Applications T2 - Studies in Computational Intelligence, SN - 9783319622125 AV - Q342 U1 - 006.3 23 PY - 2018/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Computational intelligence KW - Artificial intelligence KW - User interfaces (Computer systems) KW - Pattern recognition KW - Computational Intelligence KW - Artificial Intelligence KW - User Interfaces and Human Computer Interaction KW - Pattern Recognition N1 - Acceso multiusuario; 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 N2 - 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 UR - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-62212-5 ER -