Towards a Knowledge Based Environment for the Cognitive Understanding and Creation of Immersive Visualization of Expressive Human Movement Data

How the classification of expressive movement data and use of such classifications may be used to inform the development of a knowledge-based system of movement analysis. In this paper, we present an example that adopts a practice-led design approach to the creation of immersive animation environments that features a method of indexing dance movement used by artists and designers to characterize this movement using “narrative grammar” based on pathemic, kinesthetic, cinematographic and aesthetic criteria referred to as a “movement index”. The utility of the system described in this experiment was tested principally in art and design but this use can be generalized, to inform the development of cognitive medical applications for analyzing irregular movement patterns or the unusual motion behavior often characteristic of the ill or the elderly.