@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}, }