@article{(Open Science Index):https://publications.waset.org/pdf/10002336,
	  title     = {Laban Movement Analysis Using Kinect},
	  author    = {Ran Bernstein and  Tal Shafir and  Rachelle Tsachor and  Karen Studd and  Assaf Schuster},
	  country	= {},
	  institution	= {},
	  abstract     = {Laban Movement Analysis (LMA), developed in the
dance community over the past seventy years, is an effective method
for observing, describing, notating, and interpreting human
movement to enhance communication and expression in everyday
and professional life. Many applications that use motion capture data
might be significantly leveraged if the Laban qualities will be
recognized automatically. This paper presents an automated
recognition method of Laban qualities from motion capture skeletal
recordings and it is demonstrated on the output of Microsoft’s Kinect
V2 sensor.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {6},
	  year      = {2015},
	  pages     = {1567 - 1571},
	  ee        = {https://publications.waset.org/pdf/10002336},
	  url   	= {https://publications.waset.org/vol/102},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 102, 2015},
	}