Title :
Embedded fall and activity monitoring for a wearable ambient assisted living solution for older adults
Author :
Bourke, Alan Kevin ; Prescher, S. ; Koehler, F. ; Cionca, Victor ; Tavares, C. ; Gomis, S. ; Garcia, Virgile ; Nelson, John
Author_Institution :
Dept. of Electron. & Comput. Eng., Univ. of Limerick, Limerick, Ireland
fDate :
Aug. 28 2012-Sept. 1 2012
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.
Keywords :
biomedical equipment; geriatrics; medical computing; medical information systems; telemedicine; activity classification; embedded fall-activity monitoring; end-user trial; energy expenditure algorithms; fall-detection; older adults; telemonitoring system; wearable ambient assisted living solution; Aging; Biomedical monitoring; Classification algorithms; Mobile communication; Monitoring; Sociology; Statistics; Accidental Falls; Aged; Aged, 80 and over; Algorithms; Energy Metabolism; Female; Humans; Male; Middle Aged; Monitoring, Physiologic; Telemedicine;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6345916