Skip to Main content Skip to Navigation
Journal articles

Fall detection - Principles and Methods

Norbert Noury 1 Anthony Fleury 1 Pierre Rumeau 1 A. K. Bourke 2 G. Laighin Vincent Rialle 3 J. E. Lundy
1 AFIRM
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
3 AFIRM
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525, SIIM - Département d'Information Médicale Service d'Information et d'Informatique Médicales
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.
Document type :
Journal articles
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-00201202
Contributor : Vincent Rialle <>
Submitted on : Thursday, December 27, 2007 - 5:57:41 AM
Last modification on : Tuesday, June 1, 2021 - 3:44:12 PM

Identifiers

Collections

Citation

Norbert Noury, Anthony Fleury, Pierre Rumeau, A. K. Bourke, G. Laighin, et al.. Fall detection - Principles and Methods. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Institute of Electrical and Electronics Engineers (IEEE), 2007, 1, pp.1663-6. ⟨10.1109/IEMBS.2007.4352627⟩. ⟨hal-00201202⟩

Share

Metrics

Record views

460