DocumentCode
2528665
Title
Visual interface system by character handwriting gestures in the air
Author
Asano, Toshio ; Honda, Sachio
Author_Institution
Hiroshima Inst. of Technol., Hiroshima, Japan
fYear
2010
fDate
13-15 Sept. 2010
Firstpage
56
Lastpage
61
Abstract
A visual interface system that recognizes handwriting of Japanese katakana characters in the air has been developed. Characters written in a single stroke have both on-strokes and off-strokes. Thus, the shapes of the hand-gesture characters are different from the shapes of characters written on paper. It is difficult to trace the shapes of characters in air because the writer cannot see the trajectories. In this study, a light emission diode (LED) pen and a TV camera are used to capture the LED light trajectory, and the movements of the light are converted into direction codes correcting the slant of the handwriting character. The codes are normalized to 100 data items to eliminate the effect of writing speed. The 100 direction codes are compared with model data in which the direction codes of 46 Japanese characters are defined. Next, the system has expanded to a multi-camera system. Two of four cameras are selected and the 3-D positions of the gesture trajectories are calculated by the stereo method, and the position data are converted into front view data. In the experiments, we attained a recognition rate of 92.9% for the single-camera system. The multi-camera system has the advantage that it can recognize gestures regardless of the origin directions of the gestures. The system also has the ability to recognize the directions of the gesture commands with an accuracy of 9°.
Keywords
cameras; gesture recognition; handwritten character recognition; light emitting diodes; light pens; stereo image processing; text analysis; 3D position; Japanese katakana character; LED light trajectory; TV camera; air; character handwriting gesture; direction code; handwriting recognition; light emission diode pen; multicamera system; stereo method; visual interface system; writing speed; Cameras; Computers; Data models; Equations; Light emitting diodes; Mathematical model; Trajectory; Character recognition; Gesture recognition; Hand gesture; Human interface; Image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
RO-MAN, 2010 IEEE
Conference_Location
Viareggio
ISSN
1944-9445
Print_ISBN
978-1-4244-7991-7
Type
conf
DOI
10.1109/ROMAN.2010.5598705
Filename
5598705
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