DocumentCode :
2032342
Title :
Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction
Author :
Rodriguez, Sergio ; Picon, Artzai ; Villodas, Aritz
Author_Institution :
Infotech Unit, Tecnalia, UK
fYear :
2010
fDate :
20-21 March 2010
Firstpage :
135
Lastpage :
136
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.
Keywords :
computer vision; gesture recognition; human computer interaction; ubiquitous computing; computer vision; human-computer gesture interaction; single camera; ubiquitous 3D gesture interaction; vision-based hand tracking; Cameras; Computer vision; Costs; Electronic mail; Filters; Image analysis; Image processing; Layout; Lighting; Robustness; adaboost; computer vision; kalman filter; user interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D User Interfaces (3DUI), 2010 IEEE Symposium on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-6846-1
Electronic_ISBN :
978-1-4244-6845-4
Type :
conf
DOI :
10.1109/3DUI.2010.5444702
Filename :
5444702
Link To Document :
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