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Updated: Jun 26, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Monitoring activity patterns and trends of older adults
1Gerontology Research Centre, Simon Fraser University at Harbour Centre, Vancouver, Canada. gvirone@sfu.ca
Abstract:
This paper presents a pattern mining model developed for the continuous monitoring of high level activities and home-based behaviors for functional and cognitive status assessment with ambient assisted living systems such as in the EU-funded SOPRANO project. Motivating older people to engage in regular physical exercise is a key task of SOPRANO to improve health status and executive functions. A case study has been elaborated through software simulations to show how physical everyday life activity such as walking or sitting could be assessed and controlled for a better health lifestyle using the model.
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