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
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