Abstract
Considering the reduction of the number of persons engaging in traditional skills, archiving various types of traditional skills is required to preserve and transmit them to future generations. We focus on representing fundamental movements and pauses in traditional skills because they are key components in describing traditional skills and archiving them. The fundamental movements and pauses can be described based on the movements of a number of body parts obtained using motion capture system. In this paper, we propose an efficient method to represent fundamental movements and pauses using the motion data. The proposed method generates concise and informative feature values from the motion data on the basis of dimensionality reduction and feature selection. The effectiveness of the proposed method is evaluated through an experiment to describe several types of fundamental movements in Japanese traditional tea ceremony.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Morimoto, K., Kuwahara, N.: An analysis of body movements to sharpen cutlery by Kyoto Bow Artisan. In: Proceedings of International Conference on Advanced Applied Informatics, pp. 385–388 (2013)
Kume, M., Yoshida, T.: Characteristics of technique of skill in traditional craft workers in Japan. In: Proceedings of International Conference on Affective and Pleasurable Design, pp. 5289–5297 (2012)
Morimoto, K., Kuwahara, N.: Holistic analysis on affective source of Japanese traditional skills. In: Proceedings of International Conference on Affective and Pleasurable Design, pp. 5239–5243 (2012)
Hochin, T., Nomiya, H.: Deriving pauses for obtaining fundamental movements in traditional skills. In: Lee, R.Y. (ed.) Applied Computing and Information Technology: Studies in Computational Intelligence, vol. 533, pp. 19–30. Springer, Berlin (2014)
Kuramoto, I., Nishimura, Y., Yamamoto, K., Shibuya, Y., Tsujino, Y.: Visualizing velocity and acceleration on augmented practice mirror self-learning support system of physical motion. In: Proceedings of International Conference on Advanced Applied Informatics, pp. 365–368 (2013)
Kim, S.-W., Park, S., Chu, W.W.: An index-based approach for similarity search supporting time warping in large sequence databases. In: Proceedings of International Conference on Data Engineering, pp. 607–614 (2005)
Hochin, T., Nomiya, H.: Considerations on archiving traditional skills focusing on pauses and fundamental movements. In: Proceedings of 6th International Conference on Applied Human Factors and Ergonomics, pp. 4566–4573 (2015)
Weka 3: Data Mining Software in Java. http://www.cs.waikato.ac.nz/ml/weka/
Quinlan, J. R.: C4.5: Programs for Machine Learning. Morgan Kaufman, San Francisco (1993)
Acknowledgments
We thank Dr. Masashi Kume (Kyoto Bunkyo Junior College) and Dr. Tetsuya Yoshida (Kyoto Institute of Technology) for permitting us to use the experimental motion data, where Mr. Toru Ota (Kyoto Institute of Technology) acted as the host and Ms. Kristin Surak (University of California, Los Angeles) acted as the guest. We also give great thanks to them.
This research is partially supported by Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), 15H02769, 2015-2017.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this paper
Cite this paper
Nomiya, H., Hochin, T. (2017). Representation of Fundamental Movements and Pauses for Archiving Traditional Skills. In: Chung, W., Shin, C. (eds) Advances in Affective and Pleasurable Design . Advances in Intelligent Systems and Computing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-319-41661-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-41661-8_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41660-1
Online ISBN: 978-3-319-41661-8
eBook Packages: EngineeringEngineering (R0)