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- W3094865239 abstract "Individualization of anonymous identities using artificial intelligence - enables innovative human-computer interaction through the personalization of communication which is, at the same time, individual and anonymous. This paper presents possible approach for individualization of anonymous identities in real time. It uses computer vision and artificial intelligence to automatically detect and recognize person's age group, gender, human body measures, proportions and other specific personal characteristics. Collected data constitutes the so-called person's biometric footprint and are linked to a unique (but still anonymous) identity that is recorded in the computer system, along with other information that make up the profile of the person. Identity anonymization can be achieved by appropriate asymmetric encryption of the biometric footprint (with no additional personal information being stored) and integrity can be ensured using blockchain technology. Data collected in this manner is GDPR compliant." @default.
- W3094865239 created "2020-11-09" @default.
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- W3094865239 date "2020-09-28" @default.
- W3094865239 modified "2023-09-25" @default.
- W3094865239 title "Individualization of Anonymous Identities Using Artificial Intelligence (AI)" @default.
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- W3094865239 doi "https://doi.org/10.23919/mipro48935.2020.9245156" @default.
- W3094865239 hasPublicationYear "2020" @default.
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