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About this paper
Mattia Giovanni Campana, Franca Delmastro
The MyDigitalFootprint dataset, developed by IIT-CNR, offers a comprehensive collection of real-world smartphone sensor, physical proximity, and online social network data from 31 volunteers. This resource enables research into the relationships between physical and virtual user context, supporting the development of context-aware applications, particularly those designed for edge computing.
Key insights
- The dataset offers a holistic view of user context by combining physical sensor data (smartphone sensors, proximity) with virtual online social network interactions.
- Data collected 'in the wild' from 31 volunteers provides realistic insights into human behavior, daily routines, and contextual transitions across both physical and virtual domains.
- MyDigitalFootprint enables research into the interdependencies between physical and virtual social worlds, supporting the development of privacy-preserving context-aware applications for edge computing.
Summary by alphaXiv.
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