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Enhanced visualisation of dance performance from automatically synchronised multimodal recordings
Gowing, Marc; Kelly, Philip; O'Connor, Noel E.
The Huawei/3DLife Grand Challenge Dataset provides multimodal recordings of Salsa dancing, consisting of audiovisual streams along with depth maps and inertial measurements. In this paper, we propose a system for augmented reality-based evaluations of Salsa dancer performances. An essential step for such a system is the automatic temporal synchronisation of the multiple modalities captured from different sensors, for which we propose efficient solutions. Furthermore, we contribute modules for the automatic analysis of dance performances and present an original software application, specifically designed for the evaluation scenario considered, which enables an enhanced dance visualisation experience, through the augmentation of the original media with the results of our automatic analyses.
Keyword(s): Systems engineering; Signal processing; Audio; video; synchronisation; multimodal processing
Publication Date:
2011
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Gowing, Marc, Kelly, Philip and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> (2011) Enhanced visualisation of dance performance from automatically synchronised multimodal recordings. In: ACM Multimedia 2011, 28 Nov - 1 Dec. 2011, Scottsdale, AZ..
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/16579/2/gcp117-Gowing_Doras.pdf
First Indexed: 2011-12-07 05:17:48 Last Updated: 2019-02-09 06:47:31