Motion, captured: an open repository for comparative movement studies
(Bewegung, erfasst: ein offenes Repository für vergleichende Bewegungsstudien)
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 contextualization - along with the provision of clean and complex data sets for new forms of creative expression.
© Copyright 2016 Proceedings of the 3rd International Symposium on Movement and Computing. Veröffentlicht von ACM Press. Alle Rechte vorbehalten.
| Schlagworte: | |
|---|---|
| Notationen: | Naturwissenschaften und Technik technische Sportarten |
| Tagging: | maschinelles Lernen |
| Veröffentlicht in: | Proceedings of the 3rd International Symposium on Movement and Computing |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
ACM Press
2016
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| Schriftenreihe: | MOCO '16 |
| Online-Zugang: | http://doi.acm.org/10.1145/2948910.2948938 |
| Seiten: | 17 |
| Dokumentenarten: | Artikel |
| Level: | hoch |