Automated Chinese Handwriting Error Detection Using Attributed Relational Graph Matching
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Automatic Content Creation for Games to Train Students Distinguishing Similar Chinese Characters
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Reconstructing the correct writing sequence from a set of chinese character strokes
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
A web-based chinese handwriting education system with automatic feedback and analysis
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
International Journal of Distance Education Technologies
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Existing Chinese educational software tools teach the students at the primary or kindergarten levels the stroke movements and the stroke order of each Chinese character by animating the individual strokes of the whole character, one stroke at a time. In this paper the author will present an algorithm which allows the student to handwrite a specified character on-line through the computer, and which checks if the individual stroke movements and the strokes' order are correct. The algorithm proposed here uses low-integer-valuedcoding to represent two categories of features -primitive-stroke features and character features. The proposed algorithm is capable of identifying the typical errors as incorrect movement for the primitivestroke, incorrect stroke type, incorrect relative lengths, incorrect position of a stroke from the rest, incorrect character which looks similar in appearance, incorrect order of strokes and insufficient or extra strokes.