Contribution to Advancing Research


Contribution to Advancing Research

The effective melding of the analytic principles of movement/dance analysis, especially the dynamic/qualitative aspects of motion, with technologies such as motion capture, augmented reality, and 3D display would contribute significantly to the advancement of both approaches. The use of digital Labananalysis scores in the form of 3D display, for example, would provide multiple layers of analysis including: 3D display, Labanotation, and Effort.  Such a system would contribute to the ease of and effective documentation of dances as well as contribute significantly to the accessibility of dance scores and resources. Such a system would, for example, allow the viewer to change the viewing angles and positions while watching the performance as well as “virtually” stepping into the performance space to see the importance of scale and relationships between the dancer’s body and space.  

The project builds on Johnson-Joneses’ research into notation systems together with Woolford’s research into motion capture and visualization of human movement. The project will use motion capture systems developed by Woolford through the AHRC-funded Motion in Place Platform as well as markerless motion capture facilities at the University of Surrey (http://gtr.rcuk.ac.uk/projects?ref=AH/H037675/1).