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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Konar, Amit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Saha, Sriparna (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Computational Intelligence, 724
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.