A High Reliability Wearable Device for Elderly Fall Detection

IEEE Sensors Journal

Volumn 15, Issue 8, 2015, Pages 4544-4553

  Pierleoni, Paola ^a   Belli, Alberto ^a   Palma, Lorenzo ^a   Pellegrini, Marco ^b   Pernini, Luca ^a   Valenti, Simone ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

^b LIF srl   (Italy)

Author keywords

Accelerometer; Fall detection; Gyroscope; Magnetometer; MARG sensor; MEMS; Wearable sensors

Indexed keywords

ACCELEROMETERS; DATA FUSION; GYROSCOPES; MAGNETOMETERS; MEMS; WEARABLE TECHNOLOGY;

ACTIVITIES OF DAILY LIVING; EXPERIMENTAL PROTOCOLS; FALL DETECTION; HIGH RELIABILITY; MARG SENSORS; ORIENTATION FILTERS; SENSITIVITY AND SPECIFICITY; TRIAXIAL ACCELEROMETER;

WEARABLE SENSORS;

EID: 84934343532     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2015.2423562     Document Type: Article

References (32)

1. United Nations, Department of Economic and Social Affairs, Population Division, World Population Ageing 2009. New York, NY, USA: United Nations Publications, 2010.
2. P. Kannus, H. Sievänen, M. Palvanen, T. Järvinen, and J. Parkkari, "Prevention of falls and consequent injuries in elderly people," Lancet, vol. 366, no. 9500, pp. 1885-1893, 2005.
3. E. Finkelstein, P. Corso, and T. Miller, Incidence and Economic Burden of Injuries in the United States. New York, NY, USA: Oxford Univ. Press, 2006.
4. World Health Organization Ageing and Life Course, Family and Community Health Unit, WHO Global Report on Falls Prevention in Older Age. Geneva, Switzerland: World Health Organization, 2008.
5. A. H. Holmberg, O. Johnell, P. M. Nilsson, J. Nilsson, G. Berglund, and K. Åkesson, "Risk factors for fragility fracture in middle age. A prospective population-based study of 33,000 men and women," Osteoporosis Int., vol. 17, no. 7, pp. 1065-1077, Jul. 2006.
6. T. W. O'Neill et al., "Age and sex influences on fall characteristics," Ann. Rheumatic Diseases, vol. 53, no. 11, pp. 773-775, Nov. 1994.
7. L. Z. Rubenstein, "Falls in older people: Epidemiology, risk factors and strategies for prevention," Age Ageing, vol. 35, no. 2, pp. ii37-ii41, Sep. 2006.
8. S. R. Lord, C. Sherrington, H. B. Menz, and J. C. T. Close, Falls in Older People: Risk Factors and Strategies for Prevention. Cambridge, U.K.: Cambridge Univ. Press, 2007.
9. A.-M. R. Hedman, E. Fonad, and H. Sandmark, "Older people living at home: Associations between falls and health complaints in men and women," J. Clin. Nursing, vol. 22, nos. 19-20, pp. 2945-2952, Oct. 2013.
10. M. E. Tinetti, W.-L. Liu, and E. B. Claus, "Predictors and prognosis of inability to get up after falls among elderly persons," J. Amer. Med. Assoc., vol. 269, no. 1, pp. 65-70, 1993.
11. D. Wild, U. S. Nayak, and B. Isaacs, "How dangerous are falls in old people at home?" Brit. Med. J., vol. 282, no. 6260, pp. 266-268, Jan. 1981.
12. T. Shany, S. J. Redmond, M. R. Narayanan, and N. H. Lovell, "Sensorsbased wearable systems for monitoring of human movement and falls," IEEE Sensors J., vol. 12, no. 3, pp. 658-670, Mar. 2012.
13. T. Hori, Y. Nishida, H. Aizawa, S. Murakami, and H. Mizoguchi, "Sensor network for supporting elderly care home," in Proc. IEEE Sensors, Oct. 2004, pp. 575-578.
14. S. Gasparrini, E. Cippitelli, S. Spinsante, and E. Gambi, "A depth-based fall detection system using a Kinect sensor," Sensors, vol. 14, no. 2, pp. 2756-2775, Feb. 2014.
15. C.-F. Lai, S.-Y. Chang, H.-C. Chao, and Y.-M. Huang, "Detection of cognitive injured body region using multiple triaxial accelerometers for elderly falling," IEEE Sensors J., vol. 11, no. 3, pp. 763-770, Mar. 2011.
16. L. Tong, Q. Song, Y. Ge, and M. Liu, "HMM-based human fall detection and prediction method using tri-axial accelerometer," IEEE Sensors J., vol. 13, no. 5, pp. 1849-1856, May 2013.
17. M. Kangas, I. Vikman, J. Wiklander, P. Lindgren, L. Nyberg, and T. Jämsä, "Sensitivity and specificity of fall detection in people aged 40 years and over," Gait Posture, vol. 29, no. 4, pp. 571-574, Jun. 2009.
18. D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G. Celler, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring," IEEE Trans. Inf. Technol. Biomed., vol. 10, no. 1, pp. 156-167, Jan. 2006.
19. C. J. Fisher, Using an Accelerometer for Inclination Sensing. Cambridge, MA, USA: Analog Devices, 2010, pp. 1-8.
20. E. R. Bachmann, X. Yun, D. McKinney, R. B. McGhee, and M. J. Zyda, "Design and implementation of MARG sensors for 3-DOF orientation measurement of rigid bodies," in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), vol. 1. Taipei, Taiwan, Sep. 2003, pp. 1171-1178.
21. A. D. Young, "Comparison of orientation filter algorithms for realtime wireless inertial posture tracking," in Proc. 6th Int. Workshop Wearable Implant. Body Sensor Netw. (BSN), Berkeley, CA, USA, Jun. 2009, pp. 59-64.
22. J. Y. Hwang, J. M. Kang, Y. W. Jang, and H. C. Kim, "Development of novel algorithm and real-time monitoring ambulatory system using Bluetooth module for fall detection in the elderly," in Proc. 26th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (IEMBS), vol. 1. San Francisco, CA, USA, Sep. 2004, pp. 2204-2207.
23. A. K. Bourke and G. M. Lyons, "A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor," Med. Eng. Phys., vol. 30, no. 1, pp. 84-90, Jan. 2008.
24. G. Wu and S. Xue, "Portable preimpact fall detector with inertial sensors," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 16, no. 2, pp. 178-183, Apr. 2008.
25. N. Noury et al., "Fall detection-Principles and methods," in Proc. 29th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBS), Lyon, France, Aug. 2007, pp. 1663-1666.
26. M. Brignole, "Distinguishing syncopal from non-syncopal causes of fall in older people," Age Ageing, vol. 35, no. 2, pp. ii46-ii50, 2006.
27. J. Diebel, "Representing attitude: Euler angles, unit quaternions, and rotation vectors," Matrix, vol. 58, pp. 15-16, 2006.
28. J. L. Marins, X. Yun, E. R. Bachmann, R. B. McGhee, and M. J. Zyda, "An extended Kalman filter for quaternion-based orientation estimation using MARG sensors," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., vol. 4. Maui, HI, USA, Nov. 2001, pp. 2003-2011.
29. R. Mahony, T. Hamel, and J.-M. Pflimlin, "Nonlinear complementary filters on the special orthogonal group," IEEE Trans. Autom. Control, vol. 53, no. 5, pp. 1203-1218, Jun. 2008.
30. S. O. H. Madgwick, A. J. L. Harrison, and R. Vaidyanathan, "Estimation of IMU and MARG orientation using a gradient descent algorithm," in Proc. IEEE Int. Conf. Rehabil. Robot. (ICORR), Zürich, Switzerland, Jun./Jul. 2011, pp. 1-7.
31. A. M. Sabatini, "Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing," IEEE Trans. Biomed. Eng., vol. 53, no. 7, pp. 1346-1356, Jul. 2006.
32. M. Kangas, I. Vikman, L. Nyberg, R. Korpelainen, J. Lindblom, and T. Jämsä, "Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects," Gait Posture, vol. 35, no. 3, pp. 500-505, Mar. 2012.