Sharing of Embodied Expertise using Onomatopoetic Multi-Dimensional Fuzzy Sets

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K12106
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Soft computing
• Research Institution: Nagoya Institute of Technology
• Principal Investigator: Nakamura Tsuyoshi 名古屋工業大学, 工学(系)研究科(研究院), 准教授 (90303693)
• Research Collaborator: KOMATSU Takanori
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: オノマトペ / ファジィ / 身体知

Outline of Final Research Achievements

Onomatopoeic expression, which can support to describe body motion, promotes intuitive knowledge sharing regarding the body motion. Meanwhile, onomatopoeias are slightly different meanings in each person, which sometimes makes a person mislead his/her body motions. Our study employed writing motion as an example of body motion. We proposed and constructed multi-dimensional fuzzy sets based on writing-skill features expressed by onomatopoeias. The study calculated the similarity between the fuzzy sets and evaluated the utility and the feasibility of the proposed method using multi-dimensional fuzzy sets. Moreover, we constructed a re-arranging system of Japanese calligraphic fonts which are applications based on correspondence between onomatopoeias and writing features.

Free Research Field

ソフトコンピューティング, ヒューマンロボットインタラクション