Snap Shots of Complexity
This article brings together the disparate worlds of dance practice, motion capture and statistical analysis. Digital technologies such as motion capture offer dance artists new processes for recording and studying dance movement. Statistical analysis of these data can reveal hidden patterns in movement in ways that are semantically ‘blind’, and are hence able to challenge accepted culturo-physical ‘grammars’ of dance creation. The potential benefit to dance artists is to open up new ways of understanding choreographic movement. However, quantitative analysis does not allow for the uncertainty inherent in emergent, artistic practices such as dance. This article uses motion capture and principal component analysis (PCA), a common statistical technique in human movement recognition studies, to examine contemporary dance movement, and explores how this analysis might be interpreted in an artistic context to generate a new way of looking at the nature and role of movement patterning in dance creation.
Kim Vincs
Kim is one of the many talented minds behind Snap shots of complexity. Her involvement behind the publication is her ability to choreograph dances as well as her experience in the digital media. Apart from this publication she was involved in 20+ other digital articles on Dance
Kim Barbour
Unlike Kim Vincs, Babour as more experience in Digital media. While she might have a little bit of dance experience especially when she attended college. She experts in Digital media and arts.
The combined genius minds of these two and a big team of individuals create the idea of using snapshot and motion capture to create thousands of images of dance movements. The idea is to spread dance’s culture and how it presents itself by using more than just movement and use something liek data sheets.