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Updated: May 14, 2026
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Embedded fall and activity monitoring for a wearable ambient assisted living solution for older adults
Alan K Bourke1, Sandra Prescher, Friedrich Koehler
1Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. alan.bourke@ul.ie
Abstract:
With the rapidly increasing over 60 and over 80 age groups in society, greater emphasis will be put on technology to detect emergency situations, such as falls, in order to promote independent living. This paper describes the development and deployment of fall-detection, activity classification and energy expenditure algorithms, deployed in a tele-monitoring system. These algorithms were successfully tested in an end-user trial involving 9 elderly volunteers using the system for 28 days.
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