Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study
Journal:
arXiv
Published Date:
Mar 27, 2025
Abstract
Researchers in pervasive computing have worked for decades on sensor-based
human activity recognition (HAR). Among the digital health applications, the
recognition of activities of daily living (ADL) in smart home environments
enables the identification of behavioral changes that clinicians consider as a
digital bio-marker of early stages of cognitive decline. The real deployment of
sensor-based HAR systems in the homes of elderly subjects poses several
challenges, with privacy and ethical concerns being major ones. This paper
reports our experience applying privacy by design principles to develop and
deploy one of these systems.
