Presentation 2006-03-06
A Training System for Skill Learning based on Mining and Visualization of Skill Archives
Mitsuyoshi OZAKI, Natsuki OKA,
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Abstract(in English) In this paper, we present a training system for skill learning. The system analyzes and visualizes experts' motion, and assists nonexperts' proficiency of skill. Skill is techniques of body learned by training. The problems for skill learning are that verbalization of skills is difficult because skills are tacit knowledge. In addition, we hardly copy experts' motion. For the reasons, skill learning is very difficult. To solve the problems, we record experts' motion and extract knacks of skills by using motion analysis and data mining. Then, we visualize them on the system. We make a prototype of the system and evaluate it in evaluation experiment with trainees. In this work, we focus on the skill of sharpening kitchen knives.
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Keyword(in English) Skill Learning / Data Mining / Skill Archives
Paper # AI2005-41
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Committee AI
Conference Date 2006/2/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Training System for Skill Learning based on Mining and Visualization of Skill Archives
Sub Title (in English)
Keyword(1) Skill Learning
Keyword(2) Data Mining
Keyword(3) Skill Archives
1st Author's Name Mitsuyoshi OZAKI
1st Author's Affiliation Graduate School of Science and Technology, Kyoto Institute of Technology()
2nd Author's Name Natsuki OKA
2nd Author's Affiliation Kyoto Institute of Technology
Date 2006-03-06
Paper # AI2005-41
Volume (vol) vol.105
Number (no) 639
Page pp.pp.-
#Pages 6
Date of Issue