DocumentCode :
1668543
Title :
Application adaptation methods of gesture recognition based user interface
Author :
Jae-Ho Lee ; Hee-Kwon Kim ; Seung-Woo Nam ; Hyoung-Shin Kim
Author_Institution :
Creative Content Res. Lab., ETRI, Daejeon, South Korea
fYear :
2013
Firstpage :
258
Lastpage :
261
Abstract :
This paper introduces application adaptation methods of user interface system based on gesture recognition. Most of researches related gesture recognition has focused on increasing of recognition rate of developed system. However., the adaptation methods for real-world applications are also important for content providers and system developers. Therefore., we show the adaptation methods of gesture recognition and the way of use as interfaces for real-world application in this paper. The proposed system enables users have interactions with various applications by recognizing users” gestures. This system provides interface types including TUIO., network-based OS message., independent module, and adaptation tool for creating user interfaces. The developed system can be utilized for a lots of gesture based system such as augmented reality (AR)., virtual multi touch and virtual mouse through the recognition of hand positions., gestures and postures.
Keywords :
augmented reality; gesture recognition; haptic interfaces; pose estimation; TUIO; adaptation tool; application adaptation methods; augmented reality; content providers; gesture recognition based user interface system; hand position recognition; network-based OS message; posture recognition; real-world applications; recognition rate; system developers; user gesture recognition; user interfaces; virtual mouse; virtual multitouch; Computer vision; Conferences; Gesture recognition; Joints; Mice; Protocols; application adaptation; gesture recognition; user interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location :
Incheon
Print_ISBN :
978-1-4673-5620-6
Type :
conf
DOI :
10.1109/FCV.2013.6485500
Filename :
6485500
Link To Document :
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