Abstract
Personal lifelogging builds upon the pervasive and continuous acquisition of sensor measurements and signals in time, and this may expose the subject, and eventually bystanders, to privacy violations. While the issue is easy to understand for image and video data, the risks associated to the use of wearable accelerometers is less clear and may be underestimated. This work addresses the problem of understanding if acceleration measurements collected from the wrist, by subjects performing different types of Activities of Daily Living (ADLs), may release personal details, for example about their gender or age. A positive outcome would motivate the need for de-identification algorithms to be applied to acceleration signals, embedded into wearable devices, in order to limit the unintentional release of personal details and ensure the necessary privacy by design and by default requirements.
Authors gratefully acknowledge the support of the More Years Better Lives JPI and the Italian Ministero dell’Istruzione, Università e Ricerca (CUP: I36G17000380001), for this research activity carried out within the project PAAL - Privacy-Aware and Acceptable Lifelogging services for older and frail people (JPI MYBL award number: PAAL_JTC2017).
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Poli, A., Strazza, A., Cecchi, S., Spinsante, S. (2020). Identification Issues Associated with the Use of Wearable Accelerometers in Lifelogging. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technologies, Design and User Experience. HCII 2020. Lecture Notes in Computer Science(), vol 12207. Springer, Cham. https://doi.org/10.1007/978-3-030-50252-2_26
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