2019
DOI: 10.1108/ijwis-07-2019-0032
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A proposal of calligraphy learning assistant system with letter portion practice function using projection mapping

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/method… Show more

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Cited by 4 publications
(2 citation statements)
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References 13 publications
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“…It provides ideas for the inheritance and promotion of Chinese calligraphy aesthetics [10]. Huda S proposed a calligraphy learning assistant system based on projection mapping to improve students' calligraphy learning efficiency and improve their calligraphy level [11]. Kobayashi et al based on DL, combined with image and human motion, then proposed a calligraphy generation method to realize automatic calligraphy writing [12].…”
Section: Related Workmentioning
confidence: 99%
“…It provides ideas for the inheritance and promotion of Chinese calligraphy aesthetics [10]. Huda S proposed a calligraphy learning assistant system based on projection mapping to improve students' calligraphy learning efficiency and improve their calligraphy level [11]. Kobayashi et al based on DL, combined with image and human motion, then proposed a calligraphy generation method to realize automatic calligraphy writing [12].…”
Section: Related Workmentioning
confidence: 99%
“…Secara tradisional, seorang guru mengajarkan cara menulis huruf di atas kertas dengan kuas, dan murid akan menirunya dengan mengacu pada model huruf. Jika seorang guru tidak tersedia, dapat menggunakan sebuah sistem latihan kaligrafi, diantaranya calligraphy learning assistant system (CLAS) (Huda et al, 2020), dan software Kelk 2010 (Rahman et al, 2022).…”
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