We explore how expressive components of Taiko performance can be translated across different modalities (sound, movement, visualization). Taiko is a Japanese artistic practice that combines stylized movement with drumming technique.
The goals of the research are:
1) to create a cross-cultural performance and installation work
2) to inform the automatic recognition and generation of expressive movement qualities that have been challenging to reliably classify
Using machine-learning techniques we distinguished between basic taiko strokes both visually and sonically
Two basic Taiko strokes Tsu and Don performed by Yawen Wang.
Cuykendall, Shannon, Michael Junokas, Mohammad Amanzadeh, David Kim Tcheng, Yawen Wang, Thecla Schiphorst, Guy Garnett and Philippe Pasquier. Hearing Movement: How Taiko Can Inform Automatic Recognition of Expressive Movement Qualities. In Proceedings of the 2nd International Workshop on Movement and Computing (MOCO ’15). ACM New York, NY USA 140-147, 2015.
Cuykendall, Shannon, Michael Junokas, Kyungho Lee, Mohammad Amanzadeh, David Kim Tcheng, Yawen Wang, Thecla Schiphorst, Guy Garnett, and Philippe Pasquier. Translating Expression in Taiko Performance. In Proceedings of the 21st International Symposium on Electronic Art (ISEA). Vancouver, British Columbia Canada, 2015.
Lee, Kyungho, Michael Junokas, Shannon Cuykendall, Yawen Wang. Visual Poetics of Taiko Drumming. IEEE VIS Arts Program (VISAP’15). Chicago, IL, 2015.
David Kim Tcheng
*Part of the MovingStories Project.