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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Detaylı Bibliyografya
Asıl Yazarlar: Konar, Amit (Yazar), Saha, Sriparna (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 724
Konular:
Computational intelligence.
Artificial intelligence.
User interfaces (Computer systems).
Human-computer interaction.
Pattern recognition systems.
Computational Intelligence.
Artificial Intelligence.
User Interfaces and Human Computer Interaction.
Automated Pattern Recognition.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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.

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