Fall detection with distributed floor-mounted accelerometers: An overview of the development and evaluation of a fall detection system within the project eHome

2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

Volumn , Issue , 2011, Pages 354-361

  Werner, Franz ^a   Diermaier, Josef ^a   Schmid, Sebastian ^a   Panek, Paul ^b  

^a Inst for Rehabilitation and Assistive Living Technologies   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

AAL; accelerometers; fall detection; floor vibrations; independent living; older people

Indexed keywords

AAL; FALL DETECTION; FLOOR VIBRATIONS; INDEPENDENT LIVING; OLDER PEOPLE;

ACCELEROMETERS; DETECTORS; FLOORS; HEALTH CARE; UBIQUITOUS COMPUTING;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 80054937219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2011.246088     Document Type: Conference Paper

References (20)

1. T.W. O'Neill, et al., "Age and sex influences on fall characteristics", British Medical Journal, vol. 53, no. 11, pp. 773-775, Nov. 1994
2. th Annual International IEEE EMBS Conference Vancouver, british Columbia, Canada, August 20-24, 2008
3. Majd Alwan et al., "A Smart and Passive Floor-Vibration Based Fall Detector for Elderly", in Proceedings ICTTA'06 Damascus, Syria, pp. 23-28, April 2006
4. Kihong Shin, Joseph Hammond, "Fundamentals of Signal Processing for Sound and Vibration Engineers", John Wiley & Sons, Ltd, 2008
5. G. Perolle et al. Automatic Fall Detection and Activity Monitoring for Elderly, Med-e-Tel 2006 Proceedings, April 2006
6. M. Alwan, S. Dalal, S. Kell & R. Felder, "Derivation of Basic Human Gait Characteristics from Floor Vibrations", Summer Bioengineering Conference (Sonesta Beach Resort in Key Biscayne, Florida, 2006
7. M. Alwan et al. "A Smart and Passive Floor-Vibration Based Fall Detector for Elderly", 2nd ICTTA Information and Communication Technologies (pp. 1003-1007), 2006
8. D. Litvak, I. Gannot and Y. Zigel, "Detection of falls at home using floor vibrations and sound", IEEE 25th Convention of Electrical and Electronics Engineers in Israel, (pp. 514-518), 2008.
9. P. Rajendran, A. Corcoran, B. Kinosian and M. Alwan, "Fall Prevention, and Fall Detection Technologies", M. Alwan & R. A. Felder (Ed.), Aging Medicine, Eldercare Technology for Clinical Practitioners (pp. 187-202). Totowa, NJ USA: Humana Press, 2008
10. S. Brownsell, M. Hawley, "Fall detectors: Do they work or reduce the fear of falling?", Housing, Care and Support, Feb 2004.
11. J. Fleming, C. Brayne, "Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90", BMJ 2008
12. K. Werner, F. Werner, P. Panek, H. Hlauschek and J. Diermaier, "eHome - Wohnen mit unterstützender Intelligenz", 4. Deutscher AAL-Kongress, 2011
13. Kuratorium für Verkehrssicherheit, Bereich Heim, Freizeit & Sport, "Freizeitunfallstatistik 2007", Vienna, 2008
14. M.C. Hornbrook, V.J. Stevens, D.J. Wingfield, J.F. Hollies, M.R. Greenlick and M.G. Ory, "Preventing falls among community-dwelling older persons: Results from a randomized trials," The Gerontologist, vol. 34, no. 1, pp.16-23, 1994
15. T. Masud, RO. Morris, "Epidemiology of falls, "Age Ageing", vol. 30, no. 4, pp. 3-7, Nov 2001
16. S.R. Lord, C. Sherrington and H.B. Menz, "Falls in older people: Risk factors and strategies for prevention", Cambridge University Press, 2001
17. nd ACM Intern Conf on Pervasice Technologies Related to Assistive Environments (PETRA), Corfu, 2009
18. K. Doughty, "Fall Prevention and Management Strategies Based on Intelligent Detection, Monitoring and Assessment. In Charing Cross Hospital (Ed.)", New Technologies in Medicine for the Elderly London, UK, 2000
19. F. Werner, "Wohnen mit unterstützender Intelligenz Teil 2/3: Zigbee & wireless sensornodes." Master's thesis, Institut integriert studieren der TU Wien, Forschungsgruppe Rehabilitationstechnik, 2007
20. J. Diermaier, "Wohnen mit unterstützender Intelligenz Teil 3/3: Monitoring and inference system." Master's thesis, Institut integriert studieren der TU Wien, Forschungsgruppe Rehabilitationstechnik, 2007