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Article

Learning System for Japanese Kanji Calligraphy with Computerized Supervision

1
School of Computer Science and Engineering, University of Aizu, Aizu-wakamatsu, Fukushima 965-8580, Japan
2
School of Electronic and Biomedical Engineering, Tongmyong University, Busan 48520, Korea
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(9), 1071; https://doi.org/10.3390/sym11091071
Received: 31 July 2019 / Revised: 15 August 2019 / Accepted: 20 August 2019 / Published: 22 August 2019
The most popular way of learning oriental calligraphy has been by practicing the calligraphy under the supervision of a human teacher, but finding a good instructor can be difficult. There are a number of studies in the literature that have evaluated calligraphic characters in holistic ways, but such systems do not support detailed supervision of scripting errors. This study proposes a Kanji calligraphy learning system with computerized supervision and analyzes the learning efficiency of the system, where the supervision includes symmetries between strokes. The proposed system compares a written calligraphic character of a user to the model of a human expert, and indicates error spots with explanations. An experiment with 22 participants proved that this system was more efficient at reducing the number of scripting errors in comparison to the traditional manner of a human expert. The main contribution of this paper was to identify and reveal the efficacy of computerized supervision in comparison to a human supervisor. The proposed system decreased the writing-error-rates of learners from 32.7% to 3.4%, whereas the traditional practice reduced the error rates from 31.0% to 6.8%. This result shows that computerized supervision is more efficient than human supervision for learning calligraphy. View Full-Text
Keywords: oriental brush; calligraphy system; Kanji strokes; pen tablet oriental brush; calligraphy system; Kanji strokes; pen tablet
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MDPI and ACS Style

Shin, J.; Rahim, M.A.; Chang, W.-D. Learning System for Japanese Kanji Calligraphy with Computerized Supervision. Symmetry 2019, 11, 1071. https://doi.org/10.3390/sym11091071

AMA Style

Shin J, Rahim MA, Chang W-D. Learning System for Japanese Kanji Calligraphy with Computerized Supervision. Symmetry. 2019; 11(9):1071. https://doi.org/10.3390/sym11091071

Chicago/Turabian Style

Shin, Jungpil; Rahim, Md A.; Chang, Won-Du. 2019. "Learning System for Japanese Kanji Calligraphy with Computerized Supervision" Symmetry 11, no. 9: 1071. https://doi.org/10.3390/sym11091071

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