Abstract

This paper begins to describe a new kind of database, one that explores a diverse range of movement in the field of dance through capture of different bodies and different backgrounds - or what we are terming movement vernaculars. We re-purpose Ivan Illich's concept of 'vernacular work' [11] here to refer to those everyday forms of dance and organized movement that are informal, refractory (resistant to formal analysis), yet are socially reproduced and derived from a commons. The project investigates the notion of vernaculars in movement that is intentional and aesthetic through the development of a computational approach that highlights both similarities and differences, thereby revealing the specificities of each individual mover. This paper presents an example of how this movement database is used as a research tool, and how the fruits of that research can be added back to the database, thus adding a novel layer of annotation and further enriching the collection. Future researchers can then benefit from this layer, further refining and building upon these techniques. The creation of a robust, open source, movement lexicon repository will allow for observation, speculation, and con-textualization - along with the provision of clean and complex data sets for new forms of creative expression.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016
PublisherAssociation for Computing Machinery
Volume05-06-July-2016
ISBN (Electronic)9781450343077
DOIs
StatePublished - Jul 5 2016
Event3rd International Symposium on Movement and Computing, MOCO 2016 - Thessaloniki, Greece
Duration: Jul 5 2016Jul 6 2016

Other

Other3rd International Symposium on Movement and Computing, MOCO 2016
CountryGreece
CityThessaloniki
Period7/5/167/6/16

Keywords

  • Annotation
  • Clustering
  • Community
  • Crowd-sourcing
  • Database
  • Machine-learning
  • Motion capture
  • Movement
  • Open-source
  • Repository
  • Translation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Iyengar, V., Coleman, G., Tinapple, D., & Turaga, P. (2016). Motion, Captured: An open repository for comparative movement studies. In Proceedings of the 3rd International Symposium on Movement and Computing, MOCO 2016 (Vol. 05-06-July-2016). [17] Association for Computing Machinery. https://doi.org/10.1145/2948910.2948938