Authors:Clayton Rosa Mamedes, Marcelo M. Wanderley, Jônatas Manzolli, Denise Lopes Garcia
Publication or Conference Title:Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR2013)
This article focuses on techniques to increase expressivity and intuitiveness of an interactive process in the context of audiovisual installations based on motion capture devices. We propose a series of strategies for mapping and data parameterization obtained from the analysis of visitors’ gestures. Information retrieved from the analysis of gestures is interpreted in terms of its meaningful characteristics using descriptors of gesture segmentation, physical-domain characteristics (distance, velocity, acceleration and angular relations) and Laban’s effort analysis. Effort allows us to differentiate quality of gestural movements aiming to increase responsiveness of the system for the data acquired in real-time from visitor’s movements, thereby intensifying the interactive experience. By using simple techniques derived from physical descriptors we have efficient data control and optimized computer processing. These techniques are being implemented through a framework of MaxMSP abstractions that determine constraints to retrieve information from the data streaming provided by Motion Capture systems. We present the resources developed and ongoing improvements of this framework for mapping.