Title
Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction
Abstract
Along History, the gestures have been one of the most natural interaction methods of the Human Being. This work proposes a novel 3D interaction technique based on computer vision for human-computer gesture interaction. The main contribution to the interaction field is that this technique implements and improves on-the-edge computer vision algorithms offering a low cost solution providing robustness against scenario and user diversity. Thanks to these characteristics, this system allows the human-computer ubiquitous interaction in a robust way.
Year
DOI
Venue
2010
10.1109/3DUI.2010.5444702
3D User Interfaces
Keywords
Field
DocType
human-computer gesture interaction,main contribution,interaction field,human-computer ubiquitous interaction,single camera,computer vision,robust vision-based hand tracking,on-the-edge computer vision,natural interaction method,interaction technique,user diversity,low cost solution,ubiquitous computing,human computer interaction,image processing,layout,kalman filter,gesture recognition,image analysis,estimation,lighting,adaboost,robustness
Interaction technique,Computer vision,Computer science,Simulation,Gesture,Image processing,Gesture recognition,Robustness (computer science),Kalman filter,3D interaction,Artificial intelligence,Ubiquitous computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-6845-4
5
0.45
References 
Authors
6
3
Name
Order
Citations
PageRank
Sergio Rodriguez150.45
Artzai Picon2242.67
Aritz Villodas350.45