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Updated: May 25, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Automatically augmenting lifelog events using pervasively generated content from millions of people
Aiden R Doherty1, Alan F Smeaton
1Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin 9, Ireland. aiden.doherty@dcu.ie
Abstract:
In sensor research we take advantage of additional contextual sensor information to disambiguate potentially erroneous sensor readings or to make better informed decisions on a single sensor's output. This use of additional information reinforces, validates, semantically enriches, and augments sensed data. Lifelog data is challenging to augment, as it tracks one's life with many images including the places they go, making it non-trivial to find associated sources of information. We investigate realising the goal of pervasive user-generated content based on sensors, by augmenting passive visual lifelogs with "Web 2.0" content collected by millions of other individuals.
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