Impact Factor:6.549
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International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Open Access and Multidisciplinary
International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Open Access and Multidisciplinary
International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
ISSN(Online):2349-7084 Submit Paper Check Paper Status Conference Proposal
:10.22362/ijcert/2017/v4/i5/xxxx [UNDER PROCESS][1] WHO, “Who global report on falls prevention in older age,†tech. rep., 2007. [2] R. JM, B. DW, and L. LL, “Preventable medical injuries in older patients,†Archives of Internal Medicine, vol. 160, no. 18, pp. 2717–2728, 2000. [3] T. Masud and R. O. Morris, “Epidemiology of falls,†Age and Ageing, vol. 30, no. suppl 4, pp. 3–7, 2001. [4] Friedman, S.M., Munoz, B., West, S.K., BandeenRoche, K. and Fried, L.P., 1997, September. Falls and fear of falling: Which comes first?. In JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (Vol. 45, No. 9, pp. P186-P186). 351 WEST CAMDEN ST, BALTIMORE, MD 21201-2436: WILLIAMS & WILKINS. [5] Brownsell, S. and Hawley, M.S., 2004. Automatic fall detectors and the fear of falling. Journal of telemedicine and telecare, 10(5), pp.262-266. [6] Rubenstein, L.Z. and Josephson, K.R., 2002. The epidemiology of falls and syncope. Clinics in geriatric medicine, 18(2), pp.141-158. [7] Tinetti, M.E., Liu, W.L. and Claus, E.B., 1993. Predictors and prognosis of inability to get up after falls among elderly persons. Jama, 269(1), pp.65-70. [8] Fu Z, Delbruck T, Lichtsteiner P, Culurciello E: An address-event fall detector for assisted living applications. IEEE Trans Biomed Circuits Syst 2008, 2:88–96. [9] Zhang C, Tian Y, Capezuti E: Privacy preserving automatic fall detection for elderly using RGBD cameras. In Proceedings of the 13th International Conference on Computers Helping People with Special Needs. Edited by Miesenberger K, Karshmer A, Penaz P, Zagler W. Linz: Springer-Verlag Berlin;2012:625–633. doi:10.1109/ICSSE.2010.5551751.http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5551751&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5551751. [10] Bourke A, O’Brien J, Lyons G: Evaluation of a threshold-based triaxial accelerometer fall detection algorithm. Gait Posture 2007, 26:194–199. [11] Li Q, Stankovic JA, Hanson M, Barth A, Lach J: Accurate, fast fall detection using gyroscopes and accelerometer derived posture information. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks. Edited by Lo B, Mitcheson P. Berkeley; 2009:138–143. doi:10.1109/BSN.2009.46. [12] Shan S, Yuan T: A wearable pre-impact fall detector using feature selection and support vector machine. In Proceedings of the IEEE 10th International Conference on Signal Processing. Beijing: Institute of Electrical and Electronics Engineers; 2010:1686–1689. doi:10.1109/ICOSP.2010.5656840. [13] Lee RYW, Carlisle AJ: Detection of falls using accelerometers and mobile phone technology. Age Ageing 2011, 0:1–7.
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