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008			170705s2018 gw | s |||| 0|eng d
020			_a9783319622125
024	7		_a10.1007/978-3-319-62212-5 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.P3 _bK663 2018 EB
100	1		_aKonar, Amit. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n99255877 _1http://viaf.org/viaf/50321721/
245	1	0	_aGesture Recognition _bPrinciples, Techniques and Applications _cby Amit Konar, Sriparna Saha.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVIII, 276 páginas 99 ilustraciones, 73 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence, _x1860-949X _v724
490	0		_aEngineering (Springer-11647)
505	0		_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.
520	3		_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.
988			_aEBSPRINGER_2018
650		7	_2embne _9152614 _aReconocimiento de formas
700	1		_aSaha, Sriparna. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2017063591 _1http://viaf.org/viaf/1340149619402604010007/
776	0	8	_iEdición impresa: _z9783319622101
776	0	8	_iEdición impresa: _z9783319622118
776	0	8	_iEdición impresa: _z9783319872599
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-62212-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE