DocumentCode :
1828334
Title :
Fall detection - Principles and Methods
Author :
Noury, N. ; Fleury, A. ; Rumeau, P. ; Bourke, A.K. ; Laighin, G.O. ; Rialle, V. ; Lundy, J.E.
Author_Institution :
Univ. Joseph Fourier, Grenoble
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
1663
Lastpage :
1666
Abstract :
Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of telemonitoring systems to enable the early diagnosis of fall conditions. This article is a survey of systems, algorithms and sensors, for the automatic early detection of the fall of elderly persons. It points out the difficulty to compare the performances of the different systems due to the lack of a common framework. It then proposes a procedure for this evaluation.
Keywords :
biomechanics; biomedical measurement; geriatrics; intelligent sensors; mechanoception; patient monitoring; automatic early detection; elderly persons; fall detection; public health problem; smart sensor; telemonitoring systems; Acceleration; Accelerometers; Epilepsy; Gyroscopes; Laboratories; Monitoring; Public healthcare; Senior citizens; Sensor systems; Switches; Accidental Falls; Activities of Daily Living; Algorithms; Equipment Design; Humans; Monitoring, Ambulatory; Movement; Technology Assessment, Biomedical; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352627
Filename :
4352627
Link To Document :
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