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ID 59962
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Author
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
Abstract
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.
Keywords
Raspberry Pi
Calligraphy
Learning assistant system
Projection mapping
Published Date
2019-10-23
Publication Title
International Journal of Web Information Systems
Volume
volume16
Issue
issue2
Publisher
Emerald
Start Page
137
End Page
149
ISSN
1744-0084
Content Type
Journal Article
language
英語
OAI-PMH Set
岡山大学
Copyright Holders
© Emerald Publishing Limited
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author
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1108/IJWIS-07-2019-0032