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000823170 019__ $$a999521492$$a1005135156$$a1011955289
000823170 020__ $$a9783319622125$$q(electronic book)
000823170 020__ $$a3319622129$$q(electronic book)
000823170 020__ $$z9783319622101
000823170 020__ $$z3319622102
000823170 0247_ $$a10.1007/978-3-319-62212-5$$2doi
000823170 035__ $$aSP(OCoLC)ocn993675274
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000823170 049__ $$aISEA
000823170 050_4 $$aTK7882.P3
000823170 08204 $$a006.4$$223
000823170 1001_ $$aKonar, Amit,$$eauthor.
000823170 24510 $$aGesture recognition :$$bprinciples, techniques and applications /$$cAmit Konar, Sriparna Saha.
000823170 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018].
000823170 300__ $$a1 online resource (xviii, 276 pages) :$$billustrations.
000823170 336__ $$atext$$btxt$$2rdacontent
000823170 337__ $$acomputer$$bc$$2rdamedia
000823170 338__ $$aonline resource$$bcr$$2rdacarrier
000823170 347__ $$atext file$$bPDF$$2rda
000823170 4901_ $$aStudies in computational intelligence,$$x1860-949X ;$$vvolume 724
000823170 504__ $$aIncludes bibliographical references and index.
000823170 5050_ $$aIntroduction -- Radon Transform based Automatic Posture Recognition in Ballet Dance -- Fuzzy Image Matching Based Posture Recognition in Ballet Dance -- Gesture Driven Fuzzy Interface System For Car Racing Game -- Type-2 Fuzzy Classifier based Pathological Disorder Recognition -- Probabilistic Neural Network based Dance Gesture Recognition -- Differential Evolution based Dance Composition -- EEG-Gesture based Artificial Limb Movement for Rehabilitative Applications -- Conclusions and Future Directions -- Index.
000823170 506__ $$aAccess limited to authorized users.
000823170 520__ $$aThis book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
000823170 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 14, 2017).
000823170 650_0 $$aPattern recognition systems.
000823170 650_0 $$aHuman-computer interaction.
000823170 7001_ $$aSaha, Sriparna,$$eauthor.
000823170 77608 $$iPrint version: $$z9783319622101$$z3319622102$$w(OCoLC)989966185
000823170 830_0 $$aStudies in computational intelligence ;$$vv. 724.$$x1860-949X
000823170 852__ $$bebk
000823170 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-62212-5$$zOnline Access$$91397441.1
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