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A Context Model for Personal Data Streams
June 21, 2022 Β· Declared Dead Β· π APWeb/WAIM
"No code URL or promise found in abstract"
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Authors
Fausto Giunchiglia, Xiaoyue Li, Matteo Busso, Marcelo Rodas-Britez
arXiv ID
2206.10212
Category
cs.HC: Human-Computer Interaction
Citations
6
Venue
APWeb/WAIM
Last Checked
4 months ago
Abstract
We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as they can be collected from mobile devices, e.g. smartphones, smartwatches or fitness trackers. The proposed model is validated on a very large dataset about the everyday life of one hundred and fifty-eight people over four weeks, twenty-four hours a day.
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