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Paper Abstract and Keywords
Presentation 2018-09-07 13:50
A Proposal of Calligraphy Learning Assistant System using Projection Mapping
Samsul Huda, Lu Xiqin, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) MVE2018-23
Abstract (in Japanese) (See Japanese page) 
(in English) Calligraphy has been popular among people in Japan, and has attracted more people around the world. For learning calligraphy, conventionally, a teacher shows to students how to write characters on a paper using a brush, and students repeat imitating the model characters by the teacher. Unfortunately, this method does not only need a teacher, but also is difficult in understanding the stroke order and speed of each character despite their importance. In this paper, we propose a calligraphy learning assistant system using the projection mapping. Projection mapping is a technology offering the augmented reality in a real environment, and has become available for daily use. This system allows self-learning of calligraphy while imitating the stroke order and speed of a teacher through: 1) recording the writing of a teacher, 2) converting it to projection mapping, and 3) practicing writing by following the movie projected on the paper. For evaluations, we implement the system using Raspberry Pi and an open-source software, and prepare the contents for five examples. Then, we ask 13 students in our group including non-Japanese students, to write the characters by this system and the conventional method. The results confirm that this system is better than the conventional method in writing characters well and improving motivations in learning calligraphy.
Keyword (in Japanese) (See Japanese page) 
(in English) calligraphy / learning assistant system / projection mapping / self-learning / Raspberry Pi / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 211, MVE2018-23, pp. 53-58, Sept. 2018.
Paper # MVE2018-23 
Date of Issue 2018-08-30 (MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MVE2018-23

Conference Information
Committee MVE  
Conference Date 2018-09-06 - 2018-09-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2018-09-MVE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Calligraphy Learning Assistant System using Projection Mapping 
Sub Title (in English)  
Keyword(1) calligraphy  
Keyword(2) learning assistant system  
Keyword(3) projection mapping  
Keyword(4) self-learning  
Keyword(5) Raspberry Pi  
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1st Author's Name Samsul Huda  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Lu Xiqin  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Nobuo Funabiki  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Minoru Kuribayashi  
4th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2018-09-07 13:50:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # MVE2018-23 
Volume (vol) vol.118 
Number (no) no.211 
Page pp.53-58 
#Pages 6 
Date of Issue 2018-08-30 (MVE) 

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