The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings-Reference-Cited by-同舟云学术

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

Published:2022-12-26 Issue:0 Volume:0 Page:
ISSN:2199-174X
Container-title:Linguistics Vanguard
language:en
Short-container-title:

Author:

Khasbage Yash¹^ORCID,Alcaraz Carrión Daniel²³^ORCID,Hinnell Jennifer⁴^ORCID,Robertson Frankie⁵^ORCID,Singla Karan⁶,Uhrig Peter⁷^ORCID,Turner Mark⁸^ORCID

Affiliation:

1. Microsoft , Bangalore , India ,

2. Fundación Séneca, University of Wisconsin , Madison , USA

3. University of Murcia , Murcia , Spain

4. University of British Columbia , Vancouver , Canada

5. University of Jyväskylä , Jyvaskyla , Finland

6. Interactions Corporation , Los Angeles , USA

7. Friedrich-Alexander-Universität Erlangen-Nürnberg , Erlangen , Germany

8. Case Western Reserve University , Cleveland , USA ,

Abstract

Abstract Scientists of multimodal communication have no established policy or default tool for sharing de-identified audiovisual recordings. Recently, new technology has been developed that enables researchers to de-identify 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.

Publisher

Walter de Gruyter GmbH

Subject

Linguistics and Language,Language and Linguistics

Link

https://www.degruyter.com/document/doi/10.1515/lingvan-2022-0017/pdf

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