Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study

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.

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Published
2025-03-17
DOI
https://doi.org/10.1109/percomworkshops65533.2025.00108
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
1.28
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article

Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study

Cláudio Bettini, Azin Moradbeikie, Gabriele Civitarese
1 citations
Context-Aware Activity Recognition Systems
1.28
article

Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study

Cláudio Bettini, Azin Moradbeikie, Gabriele Civitarese
article en
1 citations

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.

University of Milan (IT)
Openalex Percentile: Top 19%
Context-Aware Activity Recognition Systems
1.28
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