Many traditional artworks in Japan are now facing the issue of raising successors to conserve their culture. It usually takes decades to learn artisan skills in conventional way. We propose a learning system using augmented reality technology to help transferring techniques in one of the Japanese traditional papermaking kamisuki. First, we measured the expert's motion and extracted tacit skills. Second we examined the relation between extracted motion and paper quality by software simulation. Finally, we developed a projection based augmented reality system that visualizes experts' tacit skills to leaners when they train papermaking. As a result, the system helped enabling learner to obtain techniques to improve the quality of paper in short time period. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Hiyama, A., Onimaru, H., Miyashita, M., Ebuchi, E., Seki, M., & Hirose, M. (2013). Augmented reality system for measuring and learning tacit artisan skills. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8017 LNCS, pp. 85–91). https://doi.org/10.1007/978-3-642-39215-3_10
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