Face and Emotion Recognition on Commercial Property under EU Data Protection Law

Peter Lewinski, Jan Trzaskowski, Joasia Luzak

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in commercial (retail store) settings within the European Union data protection framework. The AFRS is a typical instance of biometric technologies, where a distributed system of dozens of low-cost cameras uses psychological states, sociodemographic characteristics, and identity recognition algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities are discussed due to the technology's potential of becoming a substantial privacy issue. First, this paper introduces the AFRS and EU data protection law. This is followed by an analysis of European Data protection law and its application in relation to the use of the AFRS, including requirements concerning data quality and legitimate processing of personal data, which, finally, leads to an overview of measures that traders can take to comply with data protection law, including by means of information, consent, and anonymization.
    This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in commercial (retail store) settings within the European Union data protection framework. The AFRS is a typical instance of biometric technologies, where a distributed system of dozens of low-cost cameras uses psychological states, sociodemographic characteristics, and identity recognition algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities are discussed due to the technology's potential of becoming a substantial privacy issue. First, this paper introduces the AFRS and EU data protection law. This is followed by an analysis of European Data protection law and its application in relation to the use of the AFRS, including requirements concerning data quality and legitimate processing of personal data, which, finally, leads to an overview of measures that traders can take to comply with data protection law, including by means of information, consent, and anonymization.
    LanguageEnglish
    JournalPsychology & Marketing
    Volume33
    Issue number9
    Pages729–746
    ISSN0742-6046
    DOIs
    StatePublished - 2016

    Cite this

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    title = "Face and Emotion Recognition on Commercial Property under EU Data Protection Law",
    abstract = "This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in commercial (retail store) settings within the European Union data protection framework. The AFRS is a typical instance of biometric technologies, where a distributed system of dozens of low-cost cameras uses psychological states, sociodemographic characteristics, and identity recognition algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities are discussed due to the technology's potential of becoming a substantial privacy issue. First, this paper introduces the AFRS and EU data protection law. This is followed by an analysis of European Data protection law and its application in relation to the use of the AFRS, including requirements concerning data quality and legitimate processing of personal data, which, finally, leads to an overview of measures that traders can take to comply with data protection law, including by means of information, consent, and anonymization.",
    author = "Peter Lewinski and Jan Trzaskowski and Joasia Luzak",
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    Face and Emotion Recognition on Commercial Property under EU Data Protection Law. / Lewinski, Peter; Trzaskowski, Jan; Luzak, Joasia.

    In: Psychology & Marketing, Vol. 33, No. 9, 2016, p. 729–746.

    Research output: Contribution to journalJournal articleResearchpeer-review

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    AU - Lewinski,Peter

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    AB - This paper integrates and cuts through domains of privacy law and biometrics. Specifically, this paper presents a legal analysis on the use of Automated Facial Recognition Systems (the AFRS) in commercial (retail store) settings within the European Union data protection framework. The AFRS is a typical instance of biometric technologies, where a distributed system of dozens of low-cost cameras uses psychological states, sociodemographic characteristics, and identity recognition algorithms on thousands of passers-by and customers. Current use cases and theoretical possibilities are discussed due to the technology's potential of becoming a substantial privacy issue. First, this paper introduces the AFRS and EU data protection law. This is followed by an analysis of European Data protection law and its application in relation to the use of the AFRS, including requirements concerning data quality and legitimate processing of personal data, which, finally, leads to an overview of measures that traders can take to comply with data protection law, including by means of information, consent, and anonymization.

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