sign-lang@LREC Anthology

A New Tool to Facilitate Prosodic Analysis of Motion Capture Data and a Datadriven Technique for the Improvement of Avatar Motion

McDonald, John C. | Wolfe, Rosalee | Wilbur, Ronnie | Moncrief, Robyn | Malaia, Evie | Fujimoto, Sayuri | Baowidan, Souad | Stec, Jessika

Volume:: Proceedings of the LREC2016 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining
Venue:: Portorož, Slovenia
Date:: 28 May 2016
Pages:: 153–158
Publisher:: European Language Resources Association (ELRA)
License:: CC BY-NC 4.0
sign-lang ID:: 16001

Content Categories

Languages:: American Sign Language
Corpora:: Corpus Wilbur
Automatic Processing:: SignCleaner

Abstract

Researchers have been investigating the potential rewards of utilizing motion capture for linguistic analysis, but have encountered challenges when processing it. A significant problem is the nature of the data: along with the signal produced by the signer, it also contains noise. The first part of this paper is an exposition on the origins of noise and its relationship to motion capture data of signed utterances. The second part presents a tool, based on established mathematical principles, for removing or isolating noise to facilitate prosodic analysis. This tool yields surprising insights into a data-driven strategy for a parsimonious model of life-like appearance in a sparse key-frame avatar.

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@inproceedings{mcdonald:16001:sign-lang:lrec,
  author    = {McDonald, John C. and Wolfe, Rosalee and Wilbur, Ronnie and Moncrief, Robyn and Malaia, Evie and Fujimoto, Sayuri and Baowidan, Souad and Stec, Jessika},
  title     = {A New Tool to Facilitate Prosodic Analysis of Motion Capture Data and a Datadriven Technique for the Improvement of Avatar Motion},
  pages     = {153--158},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna},
  booktitle = {Proceedings of the {LREC2016} 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining},
  maintitle = {10th International Conference on Language Resources and Evaluation ({LREC} 2016)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Portoro{\v z}, Slovenia},
  day       = {28},
  month     = may,
  year      = {2016},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/16001.pdf}
}

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