Automatic fall detection by a wearable embedded smart camera

2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012

Volumn , Issue , 2012, Pages

  Casares, Mauricio ^a   Ozcan, Koray ^a   Almagambetov, Akhan ^a   Velipasalar, Senem ^a  

^a Syracuse University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION ACCURACY; DETECTION RATES; EDGE INFORMATION; EDGE ORIENTATIONS; EMERGENCY RESPONSE; PRIVACY CONCERNS; PROCESSING POWER; RESOURCE-EFFICIENT;

CAMERAS; TRACKING (POSITION);

PATIENT MONITORING;

EID: 84875088750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. M. Alwan, P. J. Rajendran, S. Kell, D. Mack, S. Dalal, M. Wolfe, and R. Felder. A smart and passive floor-vibration based fall detector for elderly. In Proc. 2nd Information and Communication Technologies ICTTA '06, volume 1, pages 1003-1007, 2006.
2. S. Cagnoni, G. Matrella, M. Mordonini, F. Sassi, and L. Ascari. Sensor fusion-oriented fall detection for assistive technologies applications. In Proc. Ninth Int. Conf. Intelligent Systems Design and Applications ISDA '09, pages 673-678, 2009.
3. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition CVPR 2005, volume 1, pages 886-893, 2005.
4. T. Degen, H. Jaeckel, M. Rufer, and S. Wyss. SPEEDY: a fall detector in a wrist watch. In Proc. Seventh IEEE Int Wearable Computers Symp, pages 184-187, 2003.
5. Z. Fu, T. Delbruck, P. Lichtsteiner, and E. Culurciello. An address-event fall detector for assisted living applications. 2(2):88-96, 2008.
6. L. Gillespie, W. Gillespie, M. Robertson, S. Lamb, R. Cumming, and B. Rowe. Interventions for preventing falls in elderly people. Physiotherapy, 89(12):692-693, 2003.
7. M. Heron. Deaths: Leading causes 2007. National Vital Statistics Reports, 59(8):17, 21-22, August 2011.
8. N. Noury, A. Galay, J. Pasquier, and M. Ballussaud. Preliminary investigation into the use of autonomous fall detectors. In Proc. 30th Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society EMBS 2008, pages 2828-2831, 2008.
9. J. Shelfer, D. Zapala, and L. Lundy. Fall risk, vestibular schwannoma, and anticoagulation therapy. Journal of the American Academy of Audiology, 19(3):237-45, 2008. (Pubitemid 351982210)
10. P. Siciliano, A. Leone, G. Diraco, C. Distante, M. Malfatti, L. Gonzo, M. Grassi, A. Lombardi, G. Rescio, and P. Malcovati. A networked multisensor system for ambient assisted living application. In Proc. 3rd Int. Workshop Advances in sensors and Interfaces IWASI 2009, pages 139-143, 2009.
11. A. Sixsmith and N. Johnson. A smart sensor to detect the falls of the elderly. 3(2):42-47, 2004.
12. F. Sposaro and G. Tyson. iFall: An android application for fall monitoring and response. In Proc. Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society EMBC 2009, pages 6119-6122, 2009.
13. G. J. Szkely, M. L. Rizzo, and N. K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35(6):2769-2794, Dec. 2007.
14. T. Tamura. Wearable accelerometer in clinical use. In Proc. 27th Annual Int. Conf. of the Engineering in Medicine and Biology Society IEEE-EMBS 2005, pages 7165-7166, 2005.
15. R. Voshaar, S. Banerjee, M. Horan, R. Baldwin, N. Pendleton, R. Proctor, N. Tarrier, Y. Woodward, and A. Burns. Predictors of incident depression after hip fracture surgery. The American Journal of Geriatric Psychiatry, 15(9):807-14, 2007.
16. F. Werner, J. Diermaier, S. Schmid, and P. Panek. Fall detection with distributed floor-mounted accelerometers: An overview of the development and evaluation of a fall detection system within the project ehome. In Proc. 5th Int Pervasive Computing Technologies for Healthcare (PervasiveHealth) Conf, pages 354-361, 2011.
17. X. Yang, A. Dinh, and L. Chen. A wearable real-time fall detector based on naive bayes classifier. In Proc. 23rd Canadian Conf. Electrical and Computer Engineering (CCECE), pages 1-4, 2010.
18. S. Zambanini, J. Machajdik, and M. Kampel. Detecting falls at homes using a network of low-resolution cameras. In Proc. 10th IEEE Int Information Technology and Applications in Biomedicine (ITAB) Conf, pages 1-4, 2010.
19. J. Zheng, G. Zhang, and T. Wu. Design of automatic fall detector for elderly based on triaxial accelerometer. In Proc. 3rd Int. Conf. Bioinformatics and Biomedical Engineering ICBBE 2009, pages 1-4, 2009.
20. Y. Zigel, D. Litvak, and I. Gannot. A method for automatic fall detection of elderly people using floor vibrations and sound - proof of concept on human mimicking doll falls. 56(12):2858-2867, 2009.