04220nam 22006615 450 991029987350332120200703231424.03-319-62212-910.1007/978-3-319-62212-5(CKB)4340000000062808(DE-He213)978-3-319-62212-5(MiAaPQ)EBC6295742(MiAaPQ)EBC5610913(Au-PeEL)EBL5610913(OCoLC)1079007551(PPN)203669053(EXLCZ)99434000000006280820170705d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierGesture Recognition Principles, Techniques and Applications /by Amit Konar, Sriparna Saha1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVIII, 276 p. 99 illus., 73 illus. in color.)Studies in Computational Intelligence,1860-949X ;7243-319-62210-2 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.Studies in Computational Intelligence,1860-949X ;724Computational intelligenceArtificial intelligenceUser interfaces (Computer systems)Pattern recognitionComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000User Interfaces and Human Computer Interactionhttps://scigraph.springernature.com/ontologies/product-market-codes/I18067Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputational intelligence.Artificial intelligence.User interfaces (Computer systems).Pattern recognition.Computational Intelligence.Artificial Intelligence.User Interfaces and Human Computer Interaction.Pattern Recognition.006.4Konar Amitauthttp://id.loc.gov/vocabulary/relators/aut542703Saha Sriparnaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299873503321Gesture Recognition2535453UNINA