|
| Automated Monitoring System for Fall Detection in the Elderly
|
|
Full
text: |
 PDF(61KB) |
|
|
Source |
International Journal of Image Processing (IJIP) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(3.65MB) |
|
Volume: 4 Issue: 5 |
| |
Pages: 457-517 |
|
Publication
Date: December 2010 |
|
ISSN
(Online): 1985-2304 |
|
|
|
|
|
Pages |
476 - 483 |
|
Author(s) |
|
|
|
Published
Date |
20-12-2010 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: Fall detection, Monitoring system, Face detection |
|
|
| |
|
|
| This Manuscript is indexed in the following databases/websites:- |
|
| 1. Docstoc |
| 2. iSEEK |
| 3. Scribd |
| 4. PDFCAST |
| 5. Socol@r |
| 6. Directory of Open Access Journals (DOAJ) |
| 7. Google Scholar |
| 8. refSeek |
| |
|
| |
|
|
| Falls are a major problem for the elderly people living independently. According to the World Health Organization, falls and sustained injuries are the third cause of chronic disability. In the last years there have been many commercial solutions aimed at automatic and non automatic detection of falls like the social alarm (wrist watch with a button that is activated by the subject in case of a fall event), and the wearable fall detectors that are based on combinations of accelerometers and tilt sensors. Critical problems are associated with those solutions like button is often unreachable after the fall, wearable devices produce many false alarms and old people tend to forget wearing them frequently. To solve these problems, we propose an automated monitoring that will detects the face of the person, extract features such as speed and determines if a human fall has occurred. An alarm is triggered immediately upon detection of a fall. |
| |
|
| |
|
| |
| 1 |
N. Noury, T. Hervé, V. Rialle, G. Virone, E. Mercier. “Monitoring behavior in home using a smart fall sensor and position sensors”. In IEEE-EMBS. Microtechnologies in Medicine & Biology“, Lyon-France,Oct 2000; 607-610.
|
|
|
| 2 |
N. Noury, A. Fleury, P. Rumeau, A.K. Bourke, G. O. Laighin, V. Rialle, J.E. Lundy, “Fall Detection - Principles and Methods,” 29th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Lion (France), pp. 1663-1666, August 2007.
|
|
|
| 3 |
N. Noury et al. “A telematic system tool for home health care “. Int. Conf. IEEE-EMBS, Paris, 1992; part 3/7, pp. 1175-1177.
|
|
|
| 4 |
B.G. Celler et al. “ An instrumentation system for the remote monitoring of changes in functional health status of the elderly “. In, 2, N. F. Sheppard, et al., eds., Int. Conf.IEEEEMBS, New York, 1994, pp. 908-909.
|
|
|
| 5 |
G. Coyle et al.” Home telecare for the elderly “Journ. Of telemedicine and telecare 1995, 1, pp. 1183-1184.
|
|
|
| 6 |
G. Williams et al. “A smart fall and activity monitor for telecare application “. Int. Conf. IEEEEMBS, Hong-Kong, 1998, pp.1151-1154Conference on, 13(16):493 – 498, 2008.
|
|
|
| 7 |
Yamaguchi. “Monitoring behavior in home using positioning sensors” Int. Conf. IEEE-EMBS, Hong-Kong, 1998; 1977-79
|
|
|
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
|
| Shadi Khawandi : Colleagues
|
|
| Bassam Daya : Colleagues
|
|
| Pierre Chauvet : Colleagues
|
|
