Representing postures and emotions of Taiwanese indigenous folk dances via Labanotation and Laban Effort

Taiwanese indigenous people have rich cultural heritages. However, their precious heritages are disappearing day-by-day due to the lack of writing systems in their native languages. One of the most important heritages includes their folk dances; in particular those danced at their festivals. We have collected basic-step dances, 2-step, and 4-step dances of their festivals, and described them by using Labanotation for preservation purposes. Labanotation can represent motion positions of dance, but cannot record dynamic structures such as speeds and accelerations during dancing. These dynamic structures reveal the dancers intentions and emotions. We combined Laban Effort with Labanotation to record both dynamic structures and motion positions. In addition, we proposed a new dance-recording procedure for preserving folk dance systematically and effectively; we apply this procedure to a case study Puyuma Shield dance. In conclusion, this study is important for recording dance position and understanding dancers emotions, as well as for providing a better systematic dance-recording procedure and verifying the effectiveness of that procedure.

[1]  Qiang Ji,et al.  2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013, Geneva, Switzerland, September 2-5, 2013 , 2013, ACII.

[2]  Marc Leman,et al.  The MEGA Project: Analysis and Synthesis of Multisensory Expressive Gesture in Performing Art Applications , 2005 .

[3]  Samuel Thornton.  Laban's theory of movement: A new perspective , 1971 .

[4]  Nor Laila Md. Noor,et al.  The design of aesthetic interaction: towards a graceful interaction framework , 2009, ICIS.

[5]  Madeline Kwok.  Dance of the Paiwan aboriginal people of Pingtung County, Taiwan: with implications of dance for tribal classification , 1977 .

[6]  Antonio Camurri,et al.  Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques , 2003, Int. J. Hum. Comput. Stud..

[7]  Katsushi Ikeuchi,et al.  Analyzing Taiwanese Indigenous Folk Dances via Labanotation and Comparing Results from Interdisciplinary Studies , 2014, EuroMed.

[8]  Jorge Dias,et al.  Laban Movement Analysis for multi-ocular systems , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Darrell Tryon,et al.  Proto-Austronesian and the Major Austronesian Subgroups , 2004 .

[10]  J. Dias,et al.  Parameterizing Interpersonal Behaviour with Laban Movement Analysis , 2012 .

[11]  Dana Kulic,et al.  Laban Effort and Shape Analysis of Affective Hand and Arm Movements , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[12]  Ann Hutchinson Guest.  Labanotation: The System of Analyzing and Recording Movement , 1987 .

[13]  Jean Newlove,et al.  Laban for All , 2003 .

[14]  Norman I. Badler,et al.  The EMOTE model for effort and shape , 2000, SIGGRAPH.

[15]  Emilia I. Barakova,et al.  Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis , 2010, Robotics Auton. Syst..

[16]  R. Blust,et al.  The prehistory of the Austronesian-speaking peoples: A view from language , 1995 .

[17]  Atsushi Nakazawa,et al.  Learning from Observation Paradigm: Leg Task Models for Enabling a Biped Humanoid Robot to Imitate Human Dances , 2007, Int. J. Robotics Res..

[18]  Jorge Dias,et al.  Human Robot interaction studies on laban human movement analysis and dynamic background segmentation , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.