Gesture Recognition Principles, Techniques and Applications /
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...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer International Publishing,
2018.
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| Ausgabe: | 1st ed. 2018. |
| Schriftenreihe: | Studies in Computational Intelligence,
724 |
| Schlagworte: | |
| ISBN: | 9783319622125 |
| ISSN: | 1860-949X ; |
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| 020 | |a 9783319622125 | ||
| 024 | 7 | |a 10.1007/978-3-319-62212-5 |2 doi | |
| 035 | |a CVTIDW09728 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Konar, Amit. |4 aut | |
| 245 | 1 | 0 | |a Gesture Recognition |h [electronic resource] : |b Principles, Techniques and Applications / |c by Amit Konar, Sriparna Saha. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XVIII, 276 p. 99 illus., 73 illus. in color. |b online resource. | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-949X ; |v 724 | |
| 500 | |a Engineering | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a User interfaces (Computer systems). | |
| 650 | 0 | |a Pattern recognition. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-62212-5 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE07008 | ||
| 919 | |a 978-3-319-62212-5 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 276141 |d 276141 | ||