DocumentCode :
226829
Title :
Classification of writing-skill features using embodied expertise onomatopoeias
Author :
Hojo, Hiroki ; Isogai, Junji ; Nakamura, T. ; Kanoh, Masayoshi ; Yamada, Koji ; Tomoto, Yutaro
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
994
Lastpage :
999
Abstract :
Embodied expertise, which expresses skills of experts, is a kind of tacit knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. The aim of our study is to translate embodied expertise into explicit knowledge, i.e. onomatopoeias. We call the onomatopoeias "embodied expertise onomatopoeias" which could facilitate people to intuitively and easily understand the skills. Acquiring "embodied expertise onomatopoeias" is considered as a problem of pattern recognition. Our study adopted a skill of Japanese penmanship "Pen Shodo" which is Japanese calligraphy using pen to be translated to onomatopoeias, and investigated a possibility to construct a classification system for the skill.
Keywords :
linguistics; pattern classification; Japanese calligraphy; Japanese penmanship; Pen Shodo; classification system; embodied expertise onomatopoeias; pattern recognition; tacit knowledge; writing-skill feature classification; Art; Bicycles; Context; Electronic mail; Pattern recognition; Support vector machines; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891734
Filename :
6891734
Link To Document :
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