TY  - JOUR
PY  - 2012//
TI  - Embedded fall and activity monitoring for a wearable ambient assisted living solution for older adults
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Bourke, Alan K.
A1  - Prescher, Sandra
A1  - Koehler, Friedrich
A1  - Cionca, Victor
A1  - Tavares, Carlos
A1  - Gomis, Sergi
A1  - Garcia, Virginia
A1  - Nelson, John
SP  - 248
EP  - 251
VL  - 2012
IS  - 
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.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2012.6345916
ID  - ref1
ER  -