ISMBE 2015, list of posters

Laban Movement Analysis (LMA) is a method for describing, interpreting and documenting all varieties of human movement. Analyzing movements using LMA is advantageous over kinematic description, as it captures their qualitative aspects in addition to the quantitative. Thus, in recent years, LMA is increasingly becoming the preferred method for movement analysis. In this study we developed a Machine Learning (ML) method for recognizing Laban qualities from a markerless Motion Capture (MOCAP) camera — Microsoft’s Kinect. We believe that we are the first succeeded identifying LMA with a ubiquitous sensor. There no papers similar enough to ours for a performance comparison, but our work obtained a recall and precision rate of about 60% averaged over the qualities, result that is a solid foundation for a future work, and even a success by itself.