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Tacit Skills Discovery by Data Mining

  • Makoto OkaEmail author
  • Hirohiko Mori
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9735)

Abstract

The aim is to extract only experts’ “skills” without “individual habits” by extracting data of postures and actions of expert Japanese drum players and then conducting data mining of the collected data. In order to discover the skills of the experts, we obtain data of postures and actions of novices to compare them with the data of the experts to extract skills. As a stage before automated skill extraction, in the present study, we examined whether it is possible to extract skills from limited data. We found that recording the positions of joints, grip strengths, and the accelerations of the drumstick allowed extraction of Japanese drum playing skills. By comparing the experts’ movements with the novices’ ones, we also found skills common to the experts. Further, we could create a model of automated skill extraction from experts’ movements and body dimensions.

Keywords

Expert-Novice Tacit skills Tacit knowledge 

References

  1. 1.
    Ando, A., Sumikawa, T.: Development and function evaluation of teaching materials for “sawing” observation by using motion capture and the virtual world. Jpn. Soc. Educ. Technol. 36(2), 103–110 (2012)Google Scholar
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    Yamaguchi, M., Horikawa, M., Okai, R., Fujiwara, M.: Japanese society of physical education. Health Sport Sci. 61, 157 (2010). (in Japanese)Google Scholar
  3. 3.
    Oka, M., Mizukoshi, A., Mori, H.: Transferring tacit skills of WADAIKO. In: Proceedings of Human-Computer Interaction International 2013 Conference, pp. 118–125 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Tokyo City UniversityTokyoJapan

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