GenLaban: A tool for generating Labanotation from motion capture data

AUTHORS: Worawat Choensawat, Minako Nakamura and Kozaburo Hachimura

ABSTRACT: This paper presents a computer-aided tool for automatically generating Labanotation scores from motion capture data named GenLaban. GenLaban can be implemented with a low-cost equipment but an efficient method that allows users converting body motions to scores. The key components of GenLaban are the analysis of body motions, the quantization of body postures and the determination of body parts carrying the body weight. All the processes are under supervision of a Labanotation expert to ensure the notation meaning correctly as the use for the dance composition. The experiments showed that for dancers,

dance instructors and choreographers, GenLaban is a potential tool for notating dance movements into Labanotation scores enabling them to be accurately interpreted. At present the system can handle a subset of Labanotation covering many of the fundamental movements. However, Labanotation is rich in symbols and new symbols are continually being introduced and will be incorporated in the GenLaban tool as time permits.

Keywords: Dance notation, Labanotation data, Movement Analysis, LabanEditor

SOURCE: Choensawat, Worawat, Minako Nakamura, and Kozaburo Hachimura. "GenLaban: A tool for generating Labanotation from motion capture data." Multimedia Tools and Applications 74.23 (2015): 10823-10846.

LINK: https://link.springer.com/article/10.1007/s11042-014-2209-6

REFERENCES: 

MLA		Choensawat, Worawat, Minako Nakamura, and Kozaburo Hachimura. "GenLaban: A tool for generating Labanotation from motion capture data." Multimedia Tools and Applications 74.23 (2015): 10823-10846.
APA		Choensawat, W., Nakamura, M., & Hachimura, K. (2015). GenLaban: A tool for generating Labanotation from motion capture data. Multimedia Tools and Applications, 74(23), 10823-10846.
ISO 690		CHOENSAWAT, Worawat; NAKAMURA, Minako; HACHIMURA, Kozaburo. GenLaban: A tool for generating Labanotation from motion capture data. Multimedia Tools and Applications, 2015, 74.23: 10823-10846.