RT Journal Article
T1 Embedded system used for classifying motor activities of elderly and disabled people
A1 Fourty, Nicolas
A1 Guiraud, D.
A1 Fraisse, P.
A1 Perolle, G.
A1 Etxeberria, I.
A1 Val, T.
AB Our modern societies are confronted to a new growing problem: the global ageing of population. In order to find ways to encourage elderly people to live longer in their own home, ensuring the necessary vigilance and security at the lowest cost, some tele-assistance systems are already available commercially. This paper presents an embedded prototype able to detect automatically the falls of elderly people while monitoring their motor activities. The classification algorithm using an artificial neural network, the communication and location capabilities of this system are specifically highlighted. In the last part, some experimental results and social issues stemming from Gerontologic Institute Ingema are discussed.
SN 0360-8352
YR 2009
FD 2009-08
LK https://hdl.handle.net/11556/3293
UL https://hdl.handle.net/11556/3293
LA eng
NO Fourty , N , Guiraud , D , Fraisse , P , Perolle , G , Etxeberria , I & Val , T 2009 , ' Embedded system used for classifying motor activities of elderly and disabled people ' , Computers and Industrial Engineering , vol. 57 , no. 1 , pp. 419-432 . https://doi.org/10.1016/j.cie.2009.01.011
DS TECNALIA Publications
RD 28 jul 2024