TY - GEN
T1 - Embedded fall and activity monitoring for a wearable ambient assisted living solution for older adults
AU - Bourke, Alan K.
AU - Prescher, Sandra
AU - Koehler, Friedrich
AU - Cionca, Victor
AU - Tavares, Carlos
AU - Gomis, Sergi
AU - Garcia, Virginia
AU - Nelson, John
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84881062502&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6345916
DO - 10.1109/EMBC.2012.6345916
M3 - Conference contribution
C2 - 23365877
AN - SCOPUS:84881062502
SN - 9781424441198
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 248
EP - 251
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Y2 - 28 August 2012 through 1 September 2012
ER -