3D Gesture Recognition and Interaction
Productivity Press (Verlag)
978-1-4987-6557-2 (ISBN)
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Key Features
Includes comprehensive survey of 3D gestures and 3D gesture recognition
Provides practical tips and worked examples
Offers free data downloads to try out examples and explore concepts
Discusses entire 3D gesture interface process from data collection to application to evaluation
Joseph J. LaViola is Associate Professor, University of Central Florida, Dept of EE/CS. Research interests include pen-based computing, 3D user interfaces for games, human motion estimation, virtual reality, human-robot interaction and interactive computer graphics. He is also an adjunct associate professor (Research), Brown University Computer Science Department; Eugene M.Taranta is a Staff Engineer at Seagate Technology and a Senior Researcher at the Graphics Lab, University of Central Florida. Research interests include: Gesture recognition, computer graphics, and RAID performance and coding theory.
Introduction. Collecting 3D Gesture Data. Working with 3D Gesture Data. Recognizing 3D Gestures – Heuristics. Recognizer 3D Gestures – Machine Learning. Using Context in 3D Gesture Recognition. Evaluating 3D Gesture Recognizers and Interfaces. Defining 3D Gestural Interfaces. Conclusions and Further Thoughts.
| Erscheint lt. Verlag | 15.2.2021 |
|---|---|
| Zusatzinfo | 50 Illustrations, color |
| Verlagsort | Portland |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Grafik / Design ► Film- / Video-Bearbeitung |
| ISBN-10 | 1-4987-6557-2 / 1498765572 |
| ISBN-13 | 978-1-4987-6557-2 / 9781498765572 |
| Zustand | Neuware |
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