Taiko, a Japanese performance practice, combines stylized movement with drumming technique. I explore how expressive components of Taiko performance can be translated across different modalities (sound, movement, visualization).
One goal of this project is to understand how techniques, such as Taiko, can inform the automatic recognition and generation of expressive movement qualities that have been challenging to reliably classify in interaction design. Through Taiko, researchers can identify expressive qualities through both sound and movement, making Taiko an ideal performance practice to examine expressive qualities.
Using machine-learning techniques, we distinguished between basic taiko strokes visually and sonically
Two basic Taiko strokes Tsu and Don performed by Yawen Wang.
Kyungho Lee interpreted Taiko strokes through artistic visualizations.
By exploring Taiko strokes through other representations, such as artistic visualizations, we can better identify characteristics of expressive qualities in Taiko that we may be able to generalize or translate to other styles of movement/dance.
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.