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020 _a9783319622125
_9978-3-319-62212-5
024 7 _a10.1007/978-3-319-62212-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aKonar, Amit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953760
245 1 0 _aGesture Recognition
_h[electronic resource] :
_bPrinciples, Techniques and Applications /
_cby Amit Konar, Sriparna Saha.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVIII, 276 p. 99 illus., 73 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v724
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 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aPattern recognition systems.
_93953
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aSaha, Sriparna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_953761
710 2 _aSpringerLink (Online service)
_953762
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319622101
776 0 8 _iPrinted edition:
_z9783319622118
776 0 8 _iPrinted edition:
_z9783319872599
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v724
_953763
856 4 0 _uhttps://doi.org/10.1007/978-3-319-62212-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79217
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