Buch, Englisch, 224 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 358 g
Theory and Applications
Buch, Englisch, 224 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 358 g
ISBN: 978-0-443-28959-0
Verlag: Elsevier Science
Gesture Recognition: Theory and Applications covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms. The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies. The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms.
Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced. Finally, the book looks at emerging research trends and application.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Basic Concepts and Development of Gesture Recognition
2. Common Datasets in Gesture Recognition
3. Handcrafted Features Based Gesture Recognition Methods
4. Convolutional Neural Networks Based Gesture Recognition Methods
5. Gesture Recognition Methods Based on Recurrent Neural Networks and Variants
6. Multimodal Data Fusion Based Gesture Recognition Methods
7. Gesture Recognition and Attention Mechanism
8. Human-Computer Interaction Cases Based on Gesture Recognition
9. Development Discussion on the Application of Gesture Recognition in Future HumanComputer Interaction