Gesture Recognition : Principles, Techniques and Applications / / by Amit Konar, Sriparna Saha
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| Autore: |
Konar Amit
|
| Titolo: |
Gesture Recognition : Principles, Techniques and Applications / / by Amit Konar, Sriparna Saha
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (XVIII, 276 p. 99 illus., 73 illus. in color.) |
| Disciplina: | 006.4 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| User interfaces (Computer systems) | |
| Pattern recognition | |
| Computational Intelligence | |
| Artificial Intelligence | |
| User Interfaces and Human Computer Interaction | |
| Pattern Recognition | |
| Persona (resp. second.): | SahaSriparna |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Gesture Recognition |
| ISBN: | 3-319-62212-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299873503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Computational Intelligence, . 1860-949X ; ; 724