The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings
Khasbage Y, Alcaraz Carrion D, Hinnell J, Robertson F, Singla K, Uhrig P, Turner M (2022)
Publication Type: Journal article
Publication year: 2022
Journal
DOI: 10.1515/lingvan-2022-0017
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.
Authors with CRIS profile
Involved external institutions
Microsoft Corporation
United States (USA) (US)
Case Western Reserve University
United States (USA) (US)
University of Jyväskylä / Jyväskylän yliopisto
Finland (FI)
University of British Columbia
Canada (CA)
University of Wisconsin - Madison
United States (USA) (US)
United States (USA) (US)
Case Western Reserve University
United States (USA) (US)
University of Jyväskylä / Jyväskylän yliopisto
Finland (FI)
University of British Columbia
Canada (CA)
University of Wisconsin - Madison
United States (USA) (US)
How to cite
APA:
Khasbage, Y., Alcaraz Carrion, D., Hinnell, J., Robertson, F., Singla, K., Uhrig, P., & Turner, M. (2022). The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings. Linguistics Vanguard. https://dx.doi.org/10.1515/lingvan-2022-0017
MLA:
Khasbage, Yash, et al. "The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings." Linguistics Vanguard (2022).
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