| Autor: |
Peter B. Marschik, Tomas Kulvicius, Sarah Flügge, Claudius Widmann, Karin Nielsen-Saines, Martin Schulte-Rüther, Britta Hüning, Sven Bölte, Luise Poustka, Jeff Sigafoos, Florentin Wörgötter, Christa Einspieler, Dajie Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
iScience, Vol 26, Iss 4, Pp 106348- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2023.106348 |
| Popis: |
Summary: In behavioral research and clinical practice video data has rarely been shared or pooled across sites due to ethical concerns of confidentiality, although the need of shared large-scaled datasets remains increasing. This demand is even more imperative when data-heavy computer-based approaches are involved. To share data while abiding by privacy protection rules, a critical question arises whether efforts at data de-identification reduce data utility? We addressed this question by showcasing an established and video-based diagnostic tool for detecting neurological deficits. We demonstrated for the first time that, for analyzing infant neuromotor functions, pseudonymization by face-blurring video recordings is a viable approach. The redaction did not affect classification accuracy for either human assessors or artificial intelligence methods, suggesting an adequate and easy-to-apply solution for sharing behavioral video data. Our work shall encourage more innovative solutions to share and merge stand-alone video datasets into large data pools to advance science and public health. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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