A1 Journal article (refereed)
The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings (2023)


Khasbage, Y., Alcaraz, C., Hinnell, J., Robertson, F., Singla, K., Uhrig, P., & Turner, M. (2023). The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings. Linguistics Vanguard, 9(1), 229-244. https://doi.org/10.1515/lingvan-2022-0017


JYU authors or editors


Publication details

All authors or editorsKhasbage, Yash; Alcaraz, Carrión, Daniel; Hinnell, Jennifer; Robertson, Frankie; Singla, Karan; Uhrig, Peter; Turner, Mark

Journal or seriesLinguistics Vanguard

eISSN2199-174X

Publication year2023

Publication date26/12/2022

Volume9

Issue number1

Pages range229-244

PublisherWalter de Gruyter GmbH

Publication countryGermany

Publication languageEnglish

DOIhttps://doi.org/10.1515/lingvan-2022-0017

Publication open accessNot open

Publication channel open access


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.


Keywordsaudiovisual materialsresearch materialdivision (active)data protectionidentifiers (information)personal datacomputer programmesmachine learning


Contributing organizations


Ministry reportingYes

VIRTA submission year2022

JUFO rating1


Last updated on 2024-12-10 at 15:46