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Real-Time Motion Capture Analysis and Music Interaction with the Modosc Descriptor Library

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jun 2018Publisher:ZenodoFunded by:EC | SloMo

Authors: Visi, Federico; Dahl, Luke;

doi: 10.5281/zenodo.1302706 , 10.5281/zenodo.1302707

Real-Time Motion Capture Analysis and Music Interaction with the Modosc Descriptor Library

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Abstract

We present modosc, a set of Max abstractions designed for computing motion descriptors from raw motion capture data in real time. The library contains methods for extracting descriptors useful for expressive movement analysis and sonic interaction design. modosc is designed to address the data handling and synchronization issues that often arise when working with complex marker sets. This is achieved by adopting a multiparadigm approach facilitated by odot and Open Sound Control to overcome some of the limitations of conventional Max programming, and structure incoming and outgoing data streams in a meaningful and easily accessible manner. After describing the contents of the library and how data streams are structured and processed, we report on a sonic interaction design use case involving motion feature extraction and machine learning.

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Fields of Science (4) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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EC| SloMo

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