000 | 04255nam a22006015i 4500 | ||
---|---|---|---|
001 | 978-3-319-62212-5 | ||
003 | DE-He213 | ||
005 | 20210201191450.0 | ||
007 | cr nn 008mamaa | ||
008 | 170705s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319622125 _9978-3-319-62212-5 |
||
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 |
|
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, _x1860-949X ; _v724 |
|
500 | _aAcceso multiusuario | ||
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. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
||
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aPattern recognition. | |
650 | 1 | 4 |
_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014 |
650 | 2 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
650 | 2 | 4 |
_aUser Interfaces and Human Computer Interaction. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18067 |
650 | 2 | 4 |
_aPattern Recognition. _0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X |
700 | 1 |
_aSaha, Sriparna. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
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, _x1860-949X ; _v724 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-62212-5 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c243801 _d243800 |