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http://dx.doi.org/10.5392/JKCA.2014.14.12.545

Depth Image based Chinese Learning Machine System Using Adjusted Chain Code  

Kim, Kisang (숭실대학교 미디어학과)
Choi, Hyung-Il (숭실대학교 미디어학과)
Publication Information
The Journal of the Korea Contents Association / v.14, no.12, 2014 , pp. 545-554 More about this Journal
Abstract
In this paper, we propose online Chinese character learning machine with a depth camera, where a system presents a Chinese character on a screen and a user is supposed to draw the presented Chinese character by his or her hand gesture. We develop the hand tracking method and suggest the adjusted chain code to represent constituent strokes of a Chinese character. For hand tracking, a fingertip is detected and verified. The adjusted chain code is designed to contain the information on order and relative length of each constituent stroke as well as the information on the directional variation of sample points. Such information is very efficient for a real-time match process and checking incorrectly drawn parts of a stroke.
Keywords
Gesture Recognition; Chain Code; Learning Machine System;
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