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 editors: Khasbage, Yash; Alcaraz, Carrión, Daniel; Hinnell, Jennifer; Robertson, Frankie; Singla, Karan; Uhrig, Peter; Turner, Mark
Journal or series: Linguistics Vanguard
eISSN: 2199-174X
Publication year: 2023
Publication date: 26/12/2022
Volume: 9
Issue number: 1
Pages range: 229-244
Publisher: Walter de Gruyter GmbH
Publication country: Germany
Publication language: English
DOI: https://doi.org/10.1515/lingvan-2022-0017
Publication open access: Not 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.
Keywords: audiovisual materials; research material; division (active); data protection; identifiers (information); personal data; computer programmes; machine learning
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2022
JUFO rating: 1