Cargando…
An investigation of privacy preservation in deep learning-based eye-tracking
BACKGROUND: The expanding usage of complex machine learning methods such as deep learning has led to an explosion in human activity recognition, particularly applied to health. However, complex models which handle private and sometimes protected data, raise concerns about the potential leak of ident...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469631/ https://www.ncbi.nlm.nih.gov/pubmed/36100851 http://dx.doi.org/10.1186/s12938-022-01035-1 |