Publication:
The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings

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Date
2022-12-26
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Authors
Khasbage, Y. ; Hinnell, J. ; Robertson, F. ; Singla, K. ; Uhrig, P. ; Turner, M. ; Alcaraz Carrión, Daniel
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Publisher
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Filología Inglesa
DOI
https://doi.org/10.1515/lingvan-2022-0017
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info:eu-repo/semantics/article
Description
©2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published, version of a Published Work that appeared in final form in [Linguistics Vanguard]. To access the final edited and published work see[https://doi.org/10.1515/lingvan-2022-0017]
Abstract
Scientists of multimodal communication have no established policy or default tool for sharing deidentified audiovisual recordings. Recently, new technology has been developed that enables researchers to deidentify voice and appearance. These software tools can produce output in JSON format that specifies bodypose and face and hand keypoints in numerical form, suitable for computer search, machine learning, and sharing. The Red Hen Anonymizer is a new tool for de-identification. This article presents the Red Hen Anonymizer and discusses guidelines for its use.
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IRB , data science , de-identification , gesture
Citation
Linguistics Vanguard
https://www.degruyter.com/view/j/lingvan
URI
http://hdl.handle.net/10201/132345
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