Self-Training System of Calligraphy Brushwork
Autor: | Ami Morikawa, Yoshihiko Nomura, Norihiko Kato, Naoaki Tsuda |
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Rok vydání: | 2017 |
Předmět: |
Engineering drawing
Multimedia Computer science Character (computing) media_common.quotation_subject 0206 medical engineering 05 social sciences 02 engineering and technology computer.software_genre 020601 biomedical engineering Motion (physics) Presentation Calligraphy Handwriting 0501 psychology and cognitive sciences Self training computer 050107 human factors media_common |
Zdroj: | HRI (Companion) |
DOI: | 10.1145/3029798.3038422 |
Popis: | In this paper, we describe a self-training system of brushwork of calligraphy. For writing a well-shaped character, the brushwork should be controlled properly. In the developed system, the motion of the student's brush is measured by Leapmotion sensor, and if the handwriting is not proper, the student's wrist is stimulated by a pressure presentation device at the moment as an instruction of a handwriting. Although the mechanism of the developed pressure presentation device was so simple, it could induce the student to correct the handwriting. The developed system can be an effective instruction device for self-training of calligraphy. |
Databáze: | OpenAIRE |
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