ID | 59962 |
フルテキストURL | |
著者 |
Huda, Samsul
Department of Electrical and Communication Engineering, Okayama University
Funabiki, Nobuo
Department of Electrical and Communication Engineering, Okayama University
Kaken ID
publons
researchmap
Kuribayashi, Minoru
Department of Electrical and Communication Engineering, Okayama University
ORCID
Kaken ID
publons
researchmap
Kao, Wen-Chung
Department of Electrical Engineering, National Taiwan Normal University
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抄録 | Purpose
For several decades, calligraphy has been popular among people in Japan, China, and even in the world. Traditionally, a teacher teaches how to write letters on a paper with a brush, and a student will imitate them by referring to the model letters. However, if a teacher is not available, this method will not be applicable either. This study aims to propose a calligraphy learning assistant system (CLAS) using projection mapping, which allows a student to learn calligraphy by him/herself.
Design/methodology/approach
By following the letter writing video of a teacher that is directly projected on the paper, a student is able to learn the stroke order and writing speed in addition to the letter shape. Moreover, the letter portion practice function is incorporated in CLAS to allow a learner to repeat practicing hard portions of each letter.
Findings
For evaluations, the authors implemented CLAS using Raspberry Pi and open-source software and asked students to use it. The results confirmed that CLAS is effective in improving calligraphy skills of novice students.
Originality/value
With CLAS, a student can practice calligraphy using a conventional brush, ink and paper at a desk while looking at the model letter writing of a teacher projected on the paper using projection mapping.
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キーワード | Raspberry Pi
Calligraphy
Learning assistant system
Projection mapping
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発行日 | 2019-10-23
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出版物タイトル |
International Journal of Web Information Systems
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巻 | 16巻
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号 | 2号
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出版者 | Emerald
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開始ページ | 137
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終了ページ | 149
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ISSN | 1744-0084
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資料タイプ |
学術雑誌論文
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言語 |
英語
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OAI-PMH Set |
岡山大学
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著作権者 | © Emerald Publishing Limited
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論文のバージョン | author
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DOI | |
Web of Science KeyUT | |
関連URL | isVersionOf https://doi.org/10.1108/IJWIS-07-2019-0032
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