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
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