메뉴 건너뛰기




Volumn 14, Issue 7, 2014, Pages 12900-12936

Automatic fall monitoring: A review

Author keywords

Fall detection; Fall monitoring; Fall prevention; Wearable sensors; Wireless sensors

Indexed keywords

ARTIFICIAL INTELLIGENCE; HOUSING; LEARNING SYSTEMS; RESEARCH; SENSORS;

EID: 84904512075     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s140712900     Document Type: Review
Times cited : (211)

References (144)
  • 2
    • 0030756537 scopus 로고    scopus 로고
    • Practice guideline for the ED management of falls in community-dwelling elderly persons
    • Baraff, L. J.; Della Penna, R.; Williams, N.; Sanders, A. Practice guideline for the ED management of falls in community-dwelling elderly persons. Ann. Emerg. Med. 1997, 30, 480-492.
    • (1997) Ann. Emerg. Med. , vol.30 , pp. 480-492
    • Baraff, L.J.1    Della Penna, R.2    Williams, N.3    Sanders, A.4
  • 4
    • 0026110369 scopus 로고
    • Falls and fear of falling among elderly persons livling in the community: Occupational therapy interventions
    • Walker, J. A.; Howland, J. Falls and fear of falling among elderly persons livling in the community: Occupational therapy interventions. Am. J. Occup. Ther. 1991, 45, 119-122.
    • (1991) Am. J. Occup. Ther. , vol.45 , pp. 119-122
    • Walker, J.A.1    Howland, J.2
  • 5
    • 0034573998 scopus 로고    scopus 로고
    • Environmental hazards and the risk of nonsyncopal falls in the homes of community-living older persons
    • Gill, T.; Williams, C.; Tinetti, M. E. Environmental hazards and the risk of nonsyncopal falls in the homes of community-living older persons. Med. Care 2000, 38, 1174-1183.
    • (2000) Med. Care , vol.38 , pp. 1174-1183
    • Gill, T.1    Williams, C.2    Tinetti, M.E.3
  • 6
    • 17744369260 scopus 로고    scopus 로고
    • Gender differences for non-fatal unintentional fall related injuries among older adults
    • Stevens, J. A.; Sogolow, E. D. Gender differences for non-fatal unintentional fall related injuries among older adults. Inj. Prev. 2005, 11, 115-119.
    • (2005) Inj. Prev. , vol.11 , pp. 115-119
    • Stevens, J.A.1    Sogolow, E.D.2
  • 7
    • 33750351974 scopus 로고    scopus 로고
    • The costs of fatal and non-fatal falls among older adults
    • Stevens, J. A.; Corso, P. S.; Finkelstein, E. A.; Miller, T. R. The costs of fatal and non-fatal falls among older adults. Inj. Prev. 2006, 12, 290-295.
    • (2006) Inj. Prev. , vol.12 , pp. 290-295
    • Stevens, J.A.1    Corso, P.S.2    Finkelstein, E.A.3    Miller, T.R.4
  • 8
    • 22044442974 scopus 로고    scopus 로고
    • The cost of falls among the community-dwelling elderly
    • Carroll, N. V.; Slattum, P. W.; Cox, F. M. The cost of falls among the community-dwelling elderly. J. Manag. Care Pharm. 2005, 11, 307-316.
    • (2005) J. Manag. Care Pharm. , vol.11 , pp. 307-316
    • Carroll, N.V.1    Slattum, P.W.2    Cox, F.M.3
  • 9
    • 71249147644 scopus 로고    scopus 로고
    • Available online: (accessed on 11 November 2013)
    • Costs of Falls Among Older Adults. Available online: http://www. cdc. gov/HomeandRecreationalSafety/Falls/fallcost. html (accessed on 11 November 2013).
    • Costs of Falls Among Older Adults
  • 10
    • 0019351736 scopus 로고
    • How dangerous are falls in old people at home?
    • Wild, D.; Nayak, U. S.; Isaacs, B. How dangerous are falls in old people at home? Br. Med. J. 1981, 282, 266-268.
    • (1981) Br. Med. J. , vol.282 , pp. 266-268
    • Wild, D.1    Nayak, U.S.2    Isaacs, B.3
  • 12
    • 7544232412 scopus 로고    scopus 로고
    • Risk factors for serious fall related injury in elderly women living at home
    • Bergland, A.; Wyller, T. B. Risk factors for serious fall related injury in elderly women living at home. Inj. Prev. 2004, 10, 308-313.
    • (2004) Inj. Prev. , vol.10 , pp. 308-313
    • Bergland, A.1    Wyller, T.B.2
  • 13
    • 80755125209 scopus 로고    scopus 로고
    • Falls prevention in the elderly
    • Truter, I. Falls prevention in the elderly. South Afr. Pharm. J. 2011, 78, 12-17.
    • (2011) South Afr. Pharm. J. , vol.78 , pp. 12-17
    • Truter, I.1
  • 15
    • 33744493092 scopus 로고    scopus 로고
    • Defining a fall and reasons for falling: Comparisons among the views of seniors, health care providers, and the research literature
    • Zecevic, A. A.; Salmoni, A. W.; Speechley, M.; Vandervoort, A. A. Defining a fall and reasons for falling: Comparisons among the views of seniors, health care providers, and the research literature. Gerontologist 2006, 46, 367-376.
    • (2006) Gerontologist , vol.46 , pp. 367-376
    • Zecevic, A.A.1    Salmoni, A.W.2    Speechley, M.3    Vandervoort, A.A.4
  • 18
    • 52949149759 scopus 로고    scopus 로고
    • Approaches and principles of fall detection for elderly and patient
    • In, Applications and Services, Singapore, 7-9 July
    • Yu, X. Approaches and principles of fall detection for elderly and patient. In Proceedings of the Tenth IEEE International Conference on e-health Networking, Applications and Services, Singapore, 7-9 July 2008; pp. 42-47.
    • (2008) Proceedings of the Tenth IEEE International Conference on e-health Networking , pp. 42-47
    • Yu, X.1
  • 21
    • 84868627131 scopus 로고    scopus 로고
    • A survey on fall detection: Principles and approaches
    • Mubashir, M.; Shao, L.; Seed, L. A survey on fall detection: Principles and approaches. Neurocomputing 2013, 100, 144-152.
    • (2013) Neurocomputing , vol.100 , pp. 144-152
    • Mubashir, M.1    Shao, L.2    Seed, L.3
  • 23
    • 84886278973 scopus 로고    scopus 로고
    • Fall detection and prevention for the elderly: A review of trends and challenges
    • El-Bendary, N.; Tan, Q.; Pivot, F. C.; Lam, A. Fall detection and prevention for the elderly: A review of trends and challenges. Int. J. Smart Sens. Intell. Syst. 2013, 6, 1230-1266.
    • (2013) Int. J. Smart Sens. Intell. Syst. , vol.6 , pp. 1230-1266
    • El-Bendary, N.1    Tan, Q.2    Pivot, F.C.3    Lam, A.4
  • 25
    • 84880377126 scopus 로고    scopus 로고
    • Challenges, issues and trends in fall detection systems
    • doi: 10. 1186/1475-925X-12-66
    • Igual, R.; Medrano, C.; Plaza, I. Challenges, issues and trends in fall detection systems. BioMed. Eng. Online 2013, 12, doi: 10. 1186/1475-925X-12-66.
    • (2013) BioMed. Eng. Online , vol.12
    • Igual, R.1    Medrano, C.2    Plaza, I.3
  • 26
    • 85057121014 scopus 로고
    • What's new in electronics: Emergency dailer
    • In Bonnier Corporation: New York, NY, USA What's new in electronics: Emergency dailer
    • What's new in electronics: Emergency dailer. In Popular Science; Bonnier Corporation: New York, NY, USA, 1975; p. 104.
    • (1975) Popular Science , pp. 104
  • 29
    • 0034333741 scopus 로고    scopus 로고
    • Distinguishing fall activities from normal activities by velocity characteristics
    • Gu, W. Distinguishing fall activities from normal activities by velocity characteristics. J. Biomech. 2000, 33, 1497-1500.
    • (2000) J. Biomech. , vol.33 , pp. 1497-1500
    • Gu, W.1
  • 33
    • 3042640871 scopus 로고    scopus 로고
    • A smart sensor to detect the falls of the elderly
    • Sixsmith, A.; Johnson, N. A smart sensor to detect the falls of the elderly. IEEE Pervasive Comput. 2004, 3, 42-47.
    • (2004) IEEE Pervasive Comput. , vol.3 , pp. 42-47
    • Sixsmith, A.1    Johnson, N.2
  • 34
    • 33749353588 scopus 로고    scopus 로고
    • A wrist-worn integrated health monitoring instrument with a tele-reporting device for telemedicine and telecare
    • Kang, J. M.; Yoo, T.; Kim, H. C. A wrist-worn integrated health monitoring instrument with a tele-reporting device for telemedicine and telecare. IEEE Trans. Instrum. Meas. 2006, 55, 1655-1661.
    • (2006) IEEE Trans. Instrum. Meas. , vol.55 , pp. 1655-1661
    • Kang, J.M.1    Yoo, T.2    Kim, H.C.3
  • 35
    • 33744505675 scopus 로고    scopus 로고
    • Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization
    • Nyan, M. N.; Tay, F. E. H.; Tan, A. W. Y.; Seah, K. H. W. Distinguishing fall activities from normal activities by angular rate characteristics and high-speed camera characterization. Med. Eng. Phys. 2006, 28, 842-849.
    • (2006) Med. Eng. Phys. , vol.28 , pp. 842-849
    • Nyan, M.N.1    Tay, F.E.H.2    Tan, A.W.Y.3    Seah, K.H.W.4
  • 39
    • 48349140488 scopus 로고    scopus 로고
    • Dynamic fall detection and pace measurement in walking sticks
    • In, Software, and Systems and Medical Device Plug-and-Play Interoperability. Boston, MA, USA, 25-27 June
    • Almeida, O.; Ming, Z.; Liu, J. C. Dynamic fall detection and pace measurement in walking sticks. In Proceedings of the Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability. Boston, MA, USA, 25-27 June 2007; pp. 204-206.
    • (2007) Proceedings of the Joint Workshop on High Confidence Medical Devices , pp. 204-206
    • Almeida, O.1    Ming, Z.2    Liu, J.C.3
  • 40
    • 34848852226 scopus 로고    scopus 로고
    • Wearable device for real-time monitoring of human falls
    • Lin, C.-S.; Hsu, H. C.; Lay, Y.-L.; Chiu, C.-C.; Chao, C.-S. Wearable device for real-time monitoring of human falls. Measurement 2007, 40, 831-840.
    • (2007) Measurement , vol.40 , pp. 831-840
    • Lin, C.-S.1    Hsu, H.C.2    Lay, Y.-L.3    Chiu, C.-C.4    Chao, C.-S.5
  • 47
  • 50
    • 84862968959 scopus 로고    scopus 로고
    • Grammar-based, posture-and context-cognitive detection for falls with different activity levels
    • In, La Jolla, CA, USA, 10-13 October
    • Li, Q.; Stankovic, J. A. Grammar-based, posture-and context-cognitive detection for falls with different activity levels. In Proceedings of the Second Conference on Wireless Health, La Jolla, CA, USA, 10-13 October 2011; pp. 1-10.
    • (2011) Proceedings of the Second Conference on Wireless Health , pp. 1-10
    • Li, Q.1    Stankovic, J.A.2
  • 51
    • 84878663321 scopus 로고    scopus 로고
    • Fallalarm: Smart phone based fall detecting and positioning system
    • Zhao, Z.; Chen, Y.; Wang, S.; Chen, Z. Fallalarm: Smart phone based fall detecting and positioning system. Procedia Comput. Sci. 2012, 10, 617-624.
    • (2012) Procedia Comput. Sci. , vol.10 , pp. 617-624
    • Zhao, Z.1    Chen, Y.2    Wang, S.3    Chen, Z.4
  • 53
    • 80054919440 scopus 로고    scopus 로고
    • Detection of falls using accelerometers and mobile phone technology
    • doi: 10. 1093/ageing/afr050
    • Lee, R. Y. W.; Carlisle, A. J. Detection of falls using accelerometers and mobile phone technology. Age Ageing 2011, 2011, doi: 10. 1093/ageing/afr050.
    • (2011) Age Ageing , vol.2011
    • Lee, R.Y.W.1    Carlisle, A.J.2
  • 54
    • 84860629106 scopus 로고    scopus 로고
    • Fall classification by machine learning using mobile phones
    • doi: 10. 1371/journal. pone. 0036556
    • Albert, M. V.; Kording, K.; Herrmann, M.; Jayaraman, A. Fall classification by machine learning using mobile phones. PLoS One 2012, 7, doi: 10. 1371/journal. pone. 0036556.
    • (2012) PLoS One , vol.7
    • Albert, M.V.1    Kording, K.2    Herrmann, M.3    Jayaraman, A.4
  • 55
    • 84920972638 scopus 로고    scopus 로고
    • A smart phone-based pocket fall accident detection, positioning and rescue system
    • doi: 10. 1109/JBHI. 2328593
    • Kau, L.; Chen, C. A smart phone-based pocket fall accident detection, positioning and rescue system. IEEE J. Biomed. Health Inf. 2014, PP, doi: 10. 1109/JBHI. 2014. 2328593.
    • (2014) IEEE J. Biomed. Health Inf. 2014, PP
    • Kau, L.1    Chen, C.2
  • 56
    • 84920880084 scopus 로고    scopus 로고
    • Fall detection in homes of older adults using the microsoft kinect
    • 10. 1109/JBHI. 2312180
    • Stone, E.; Skubic, M. Fall detection in homes of older adults using the microsoft kinect. IEEE J. Biomed. Health Inf. 2014, PP, 10. 1109/JBHI. 2014. 2312180.
    • (2014) IEEE J. Biomed. Health Inf. 2014, PP
    • Stone, E.1    Skubic, M.2
  • 57
    • 84904492894 scopus 로고    scopus 로고
    • Depth-based human fall detection via shape features and improved extreme learning machine
    • 2014, doi: 10. 1109/JBHI. 2304357
    • Ma, X.; Wang, H.; Xue, B.; Zhou, M.; Ji, B.; Li, Y. Depth-based human fall detection via shape features and improved extreme learning machine. IEEE J. Biomed. Health Inf. 2014, doi: 10. 1109/JBHI. 2014. 2304357.
    • (2014) IEEE J. Biomed. Health Inf.
    • Ma, X.1    Wang, H.2    Xue, B.3    Zhou, M.4    Ji, B.5    Li, Y.6
  • 58
    • 84890399408 scopus 로고    scopus 로고
    • Enhanced computer vision with microsoft kinect sensor: A review
    • Han, J.; Shao, L.; Xu, D.; Shotton, J. Enhanced computer vision with microsoft kinect sensor: A review. IEEE Trans. Cybern. 2013, 43, 1318-1334.
    • (2013) IEEE Trans. Cybern. , vol.43 , pp. 1318-1334
    • Han, J.1    Shao, L.2    Xu, D.3    Shotton, J.4
  • 59
    • 84860384325 scopus 로고    scopus 로고
    • A microphone array system for automatic fall detection
    • Li, Y.; Ho, K. C.; Popescu, M. A microphone array system for automatic fall detection. IEEE Trans. Biomed. Eng. 2012, 59, 1291-1301.
    • (2012) IEEE Trans. Biomed. Eng. , vol.59 , pp. 1291-1301
    • Li, Y.1    Ho, K.C.2    Popescu, M.3
  • 60
    • 84864817846 scopus 로고    scopus 로고
    • Privacy preserving automatic fall detection for elderly using rgbd cameras
    • In, Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W., Eds.; Springer: Berlin, Germany, Volume
    • Zhang, C.; Tian, Y.; Capezuti, E. Privacy preserving automatic fall detection for elderly using rgbd cameras. In Computers Helping People with Special Needs; Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W., Eds.; Springer: Berlin, Germany, 2012; Volume 7382, pp. 625-633.
    • (2012) Computers Helping People with Special Needs , vol.7382 , pp. 625-633
    • Zhang, C.1    Tian, Y.2    Capezuti, E.3
  • 62
    • 84856241051 scopus 로고    scopus 로고
    • Abnormal human activity recognition system based on r-transform and kernel discriminant technique for elderly home care
    • Khan, Z. A.; Sohn, W. Abnormal human activity recognition system based on r-transform and kernel discriminant technique for elderly home care. IEEE Trans. Consum. Electron. 2011, 57, 1843-1850.
    • (2011) IEEE Trans. Consum. Electron. , vol.57 , pp. 1843-1850
    • Khan, Z.A.1    Sohn, W.2
  • 63
    • 52649152417 scopus 로고    scopus 로고
    • Application of motion analysis system in pre-impact fall detection
    • Nyan, M. N.; Tay, F. E. H.; Mah, M. Z. E. Application of motion analysis system in pre-impact fall detection. J. Biomech. 2008, 41, 2297-2304.
    • (2008) J. Biomech. , vol.41 , pp. 2297-2304
    • Nyan, M.N.1    Tay, F.E.H.2    Mah, M.Z.E.3
  • 64
    • 38149123308 scopus 로고    scopus 로고
    • Automatic detection of human fall in video
    • In, Ghosh, A., De, R.K., Pal, S.K., Eds.; Springer: Berlin, Germany, Volume
    • Vishwakarma, V.; Mandal, C.; Sural, S. Automatic detection of human fall in video. In Pattern Recognition and Machine Intelligence; Ghosh, A., De, R. K., Pal, S. K., Eds.; Springer: Berlin, Germany, 2007; Volume 4815, pp. 616-623.
    • (2007) Pattern Recognition and Machine Intelligence , vol.4815 , pp. 616-623
    • Vishwakarma, V.1    Mandal, C.2    Sural, S.3
  • 66
    • 84055189239 scopus 로고    scopus 로고
    • Recognizing human daily activities from accelerometer signal
    • Wang, J.; Chen, R.; Sun, X.; She, M. F. H.; Wu, Y. Recognizing human daily activities from accelerometer signal. Procedia Eng. 2011, 15, 1780-1786.
    • (2011) Procedia Eng. , vol.15 , pp. 1780-1786
    • Wang, J.1    Chen, R.2    Sun, X.3    She, M.F.H.4    Wu, Y.5
  • 67
  • 68
    • 63249132839 scopus 로고    scopus 로고
    • Sensitivity and specificity of fall detection in people aged 40 years and over
    • Kangas, M.; Vikman, I.; Wiklander, J.; Lindgren, P.; Nyberg, L.; Jämsä, T. Sensitivity and specificity of fall detection in people aged 40 years and over. Gait Posture 2009, 29, 571-574.
    • (2009) Gait Posture , vol.29 , pp. 571-574
    • Kangas, M.1    Vikman, I.2    Wiklander, J.3    Lindgren, P.4    Nyberg, L.5    Jämsä, T.6
  • 69
    • 84857993513 scopus 로고    scopus 로고
    • Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects
    • Kangas, M.; Vikman, I.; Nyberg, L.; Korpelainen, R.; Lindblom, J.; Jämsä, T. Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects. Gait Posture 2012, 35, 500-505.
    • (2012) Gait Posture , vol.35 , pp. 500-505
    • Kangas, M.1    Vikman, I.2    Nyberg, L.3    Korpelainen, R.4    Lindblom, J.5    Jämsä, T.6
  • 72
    • 30744436064 scopus 로고    scopus 로고
    • Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring
    • Karantonis, D. M.; Narayanan, M. R.; Mathie, M.; Lovell, N. H.; Geller, B. G. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed. 2006, 10, 156-167.
    • (2006) IEEE Trans. Inf. Technol. Biomed. , vol.10 , pp. 156-167
    • Karantonis, D.M.1    Narayanan, M.R.2    Mathie, M.3    Lovell, N.H.4    Geller, B.G.5
  • 80
    • 77954801910 scopus 로고    scopus 로고
    • Adaptive body posture analysis for elderly-falling detection with multisensors
    • Lai, C.-F.; Huang, Y.-M.; Park, J. H.; Chao, H.-C. Adaptive body posture analysis for elderly-falling detection with multisensors. IEEE Intell. Syst. 2010, 25, 20-30.
    • (2010) IEEE Intell. Syst. , vol.25 , pp. 20-30
    • Lai, C.-F.1    Huang, Y.-M.2    Park, J.H.3    Chao, H.-C.4
  • 81
    • 46149107931 scopus 로고    scopus 로고
    • Comparison of low-complexity fall detection algorithms for body attached accelerometers
    • Kangas, M.; Konttila, A.; Lindgren, P.; Winblad, I.; Jamsa, T. Comparison of low-complexity fall detection algorithms for body attached accelerometers. Gait Posture 2008, 28, 285-291.
    • (2008) Gait Posture , vol.28 , pp. 285-291
    • Kangas, M.1    Konttila, A.2    Lindgren, P.3    Winblad, I.4    Jamsa, T.5
  • 86
    • 77951496727 scopus 로고    scopus 로고
    • A research on automatic human fall detection method based on wearable inertial force information acquisition system
    • In, Guilin, China, 19-23 December
    • Tong, L.; Chen, W.; Song, Q.; Ge, Y. A research on automatic human fall detection method based on wearable inertial force information acquisition system. In Proceedings of the IEEE International Conference on Robotics and Biomimetics, Guilin, China, 19-23 December 2009; pp. 949-953.
    • (2009) Proceedings of the IEEE International Conference on Robotics and Biomimetics , pp. 949-953
    • Tong, L.1    Chen, W.2    Song, Q.3    Ge, Y.4
  • 88
    • 38149045656 scopus 로고    scopus 로고
    • A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor
    • Bourke, A. K.; Lyons, G. M. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Med. Eng. Phys. 2008, 30, 84-90.
    • (2008) Med. Eng. Phys. , vol.30 , pp. 84-90
    • Bourke, A.K.1    Lyons, G.M.2
  • 91
    • 77950293556 scopus 로고    scopus 로고
    • Automated detection of near falls: Algorithm development and preliminary results
    • Weiss, A.; Shimkin, I.; Giladi, N.; Hausdorff, J. Automated detection of near falls: Algorithm development and preliminary results. BMC Res. Notes 2010, 3, 1-8.
    • (2010) BMC Res. Notes , vol.3 , pp. 1-8
    • Weiss, A.1    Shimkin, I.2    Giladi, N.3    Hausdorff, J.4
  • 94
    • 33744545137 scopus 로고    scopus 로고
    • Garment-based detection of falls and activities of daily living using 3-axis mems accelerometer
    • Nyan, M. N.; Tay, F. E. H.; Manimaran, M.; Seah, K. H. W. Garment-based detection of falls and activities of daily living using 3-axis mems accelerometer. J. Phys. 2006, 34, 1059-1067.
    • (2006) J. Phys. , vol.34 , pp. 1059-1067
    • Nyan, M.N.1    Tay, F.E.H.2    Manimaran, M.3    Seah, K.H.W.4
  • 96
  • 98
    • 84879932457 scopus 로고    scopus 로고
    • Towards an autonomous fall detection and alerting system on a mobile and pervasive environment
    • Lopes, I. C.; Vaidya, B.; Rodrigues, J. J. P. C. Towards an autonomous fall detection and alerting system on a mobile and pervasive environment. Telecommun. Syst. 2011, 52, 2299-2310.
    • (2011) Telecommun. Syst. , vol.52 , pp. 2299-2310
    • Lopes, I.C.1    Vaidya, B.2    Rodrigues, J.J.P.C.3
  • 102
    • 79951652725 scopus 로고    scopus 로고
    • Detecting human motion: Introducing step, fall and adl algorithms
    • In, Kostkova, P., Ed.; Springer: Berlin, Germany
    • Vermeiren, D.; Weyn, M.; Ron, G. Detecting human motion: Introducing step, fall and adl algorithms. In Electronic Healthcare; Kostkova, P., Ed.; Springer: Berlin, Germany, 2010; pp. 62-69.
    • (2010) Electronic Healthcare , pp. 62-69
    • Vermeiren, D.1    Weyn, M.2    Ron, G.3
  • 103
    • 56549108173 scopus 로고    scopus 로고
    • A wearable system for pre-impact fall detection
    • Nyan, M. N.; Tay, F. E. H.; Murugasu, E. A wearable system for pre-impact fall detection. J. Biomech. 2008, 41, 3475-3481.
    • (2008) J. Biomech. , vol.41 , pp. 3475-3481
    • Nyan, M.N.1    Tay, F.E.H.2    Murugasu, E.3
  • 105
    • 83455234743 scopus 로고    scopus 로고
    • An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans
    • Aziz, O.; Robinovitch, S. N. An analysis of the accuracy of wearable sensors for classifying the causes of falls in humans. IEEE Trans. Neural Syst. Rehabil. Eng. 2011, 19, 670-676.
    • (2011) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.19 , pp. 670-676
    • Aziz, O.1    Robinovitch, S.N.2
  • 106
    • 84860498453 scopus 로고    scopus 로고
    • Developing a mobile phone-based fall detection system on android platform
    • In, Communications and Applications Conference, Hong Kong, China, 11-13 January
    • Fang, S.-H.; Liang, Y.-C.; Chiu, K.-M. Developing a mobile phone-based fall detection system on android platform. In Proceedings of the Computing, Communications and Applications Conference, Hong Kong, China, 11-13 January 2012; pp. 143-146.
    • (2012) Proceedings of the Computing , pp. 143-146
    • Fang, S.-H.1    Liang, Y.-C.2    Chiu, K.-M.3
  • 107
    • 34249934082 scopus 로고    scopus 로고
    • Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
    • Bourke, A. K.; O'Brien, J. V.; Lyons, G. M., Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture 2007, 26, 194-199.
    • (2007) Gait Posture , vol.26 , pp. 194-199
    • Bourke, A.K.1    O'Brien, J.V.2    Lyons, G.M.3
  • 110
    • 33750376702 scopus 로고    scopus 로고
    • Using wearable sensor and nmf algorithm to realize ambulatory fall detection
    • In, Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F., Eds.; Springer: Berlin, Germany
    • Zhang, T.; Wang, J.; Xu, L.; Liu, P. Using wearable sensor and nmf algorithm to realize ambulatory fall detection. In Advances in Natural Computation; Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F., Eds.; Springer: Berlin, Germany, 2006; Volume 4222, pp. 488-491.
    • (2006) Advances in Natural Computation , vol.4222 , pp. 488-491
    • Zhang, T.1    Wang, J.2    Xu, L.3    Liu, P.4
  • 111
    • 84904492897 scopus 로고    scopus 로고
    • Available online: (accessed on 17 July 2014)
    • Fall Detection Dataset. Available online: http://le2i. cnrs. fr/Fall-detection-Dataset?lang=fr (accessed on 17 July 2014).
    • Fall Detection Dataset
  • 113
    • 84904492898 scopus 로고    scopus 로고
    • Senso. Available online: (accessed on 7 November 2013)
    • Senso. Available online: https://www. senso-connect. com/our-fall (accessed on 7 November 2013).
  • 114
    • 84904492899 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Mysos Mandown. Available online: http://www. skyguardgroup. com/products/mysosMandown/(accessed on 7 November 2013).
    • Mysos Mandown
  • 115
    • 84904461391 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Sensorband II. Available online: http://www. caretech. com. au/products-/fall-sensor. html (accessed on 7 November 2013).
    • Sensorband II
  • 116
    • 84904492900 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Badge-it Fall Detector. Available online: http://www. alert-it. co. uk/Products/AssistiT#Badge-iTFall-and-Personal-Alarm-Badge (accessed on 7 November 2013).
    • Badge-it Fall Detector
  • 117
    • 84904492890 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Fall Detector MCT-241MD Pers. Available online: http://www. visonic. com/Products/Wireless-Emergency-Response-Systems/Fall-detector-mct-241md-pers-wer (accessed on 7 November 2013).
    • Fall Detector MCT-241MD Pers
  • 118
    • 84904492891 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Vitalbase. Available online: http://www. vitalbase. fr/teleassistance/(accessed on 7 November 2013).
    • Vitalbase
  • 119
    • 84904492892 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Climax Fall Sensor. Available online: http://climax. manufacturer. globalsources. com/si/6008800221031/pdtl/Fall-prevention/1046434163/Fall-Sensor. htm (accessed on 7 November 2013).
    • Climax Fall Sensor
  • 120
    • 84904492882 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Tunstall IVI Pendant. Available online: http://americas. tunstall. com/pages/products/Tunstall-iVi (accessed on 7 November 2013).
    • Tunstall IVI Pendant
  • 121
    • 84904492883 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Oval Fall Detector. Available online: http://epicalert. com/products/pendants/oval-fall-detector/(accessed on 7 November 2013).
    • Oval Fall Detector
  • 122
    • 84904492884 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Aframe the Watch. Available online: http://aframedigital. com/index. php/features (accessed on 7 November 2013).
    • Aframe the Watch
  • 123
    • 84904509189 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Autoalert Pendant. Available online: http://www. lifelinesys. com/content/lifeline-products/personal-help-buttons/auto-alert-pendant (accessed on 7 November 2013).
    • Autoalert Pendant
  • 124
    • 84904463244 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Tunstall Fall Detector. Available online: http://www. tunstallamerica. com/3_6Fall_detection_systems. htm (accessed on 7 November 2013).
    • Tunstall Fall Detector
  • 125
    • 84904492885 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Tynetec Fall Detector. Available online: http://www. tynetec. co. uk/products/products/telecare-sensors/fall-detector (accessed on 7 November 2013).
    • Tynetec Fall Detector
  • 126
    • 84904500577 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Blue Alert Fall Detection Sensor. Available online: http://www. bluealertalarm. com/index. cfm?page=equipment (accessed on 7 November 2013).
    • Blue Alert Fall Detection Sensor
  • 127
    • 84904492886 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Csem Wrist Fall Detection. Available online: http://www. csem. ch/docs/Show. aspx/6026/docname/Fall%20detection%20sensor%20system%20-%20WFDSS%20-%20Paper%202009. pdf (accessed on 7 November 2013).
    • Csem Wrist Fall Detection
  • 128
    • 84904492887 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Tynetec Wrist Worn Fall Detector. Available online: http://www. tynetec. co. uk/products/products/telecare-sensors/wrist-worn-fall-detector (accessed on 7 November 2013).
    • Tynetec Wrist Worn Fall Detector
  • 129
    • 84904492888 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • onAll Chest Strap. Available online: http://oncaring. com/products. php?product=onall§ion= features (accessed on 7 November 2013).
    • OnAll Chest Strap
  • 130
    • 84904492889 scopus 로고    scopus 로고
    • Available online: (accessed on 7 November 2013)
    • Verso 70 Degree Fall Detector. Available online: http://www. chubbcommunitycare. co. uk/files/product_specs/Chubb_Verso_70_degree_Fall_Detector. pdf (accessed on 7 November 2013).
    • Verso 70 Degree Fall Detector
  • 131
    • 0034528276 scopus 로고    scopus 로고
    • A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers
    • Brauer, S. G.; Burns, Y. R.; Galley, P. A prospective study of laboratory and clinical measures of postural stability to predict community-dwelling fallers. J. Gerontol. A Biol. Sci. Med. Sci. 2000, 55, M469-M476.
    • (2000) J. Gerontol. A Biol. Sci. Med. Sci. , vol.55
    • Brauer, S.G.1    Burns, Y.R.2    Galley, P.3
  • 132
    • 0024801297 scopus 로고
    • Measuring balance in the elderly: Preliminary development of an instrument
    • Berg, K. Measuring balance in the elderly: Preliminary development of an instrument. Physiother. Can. 1989, 41, 304-311.
    • (1989) Physiother. Can. , vol.41 , pp. 304-311
    • Berg, K.1
  • 134
    • 0032616478 scopus 로고    scopus 로고
    • Lateral reach: A clinical measure of medio-lateral postural stability
    • Brauer, S.; Burns, Y.; Galley, P. Lateral reach: A clinical measure of medio-lateral postural stability. Physiother. Res. Int. 1999, 4, 81-88.
    • (1999) Physiother. Res. Int. , vol.4 , pp. 81-88
    • Brauer, S.1    Burns, Y.2    Galley, P.3
  • 135
    • 0000005486 scopus 로고    scopus 로고
    • A new test of dynamic standing balance for stroke patients: Reliability, validity and comparison with healthy elderly
    • Hill, K. D. A new test of dynamic standing balance for stroke patients: Reliability, validity and comparison with healthy elderly. Physiother. Can. 1996, 48, 257-262.
    • (1996) Physiother. Can. , vol.48 , pp. 257-262
    • Hill, K.D.1
  • 136
    • 0030698119 scopus 로고    scopus 로고
    • Development and evaluation of evidence based risk assessment tool (stratify) to predict which elderly inpatients will fall: Case-control and cohort studies
    • Oliver, D.; Britton, M.; Seed, P.; Martin, F. C.; Hopper, A. H. Development and evaluation of evidence based risk assessment tool (stratify) to predict which elderly inpatients will fall: Case-control and cohort studies. Br. Med. J. 1997, 315, 1049-1053.
    • (1997) Br. Med. J. , vol.315 , pp. 1049-1053
    • Oliver, D.1    Britton, M.2    Seed, P.3    Martin, F.C.4    Hopper, A.H.5
  • 137
    • 0026031194 scopus 로고
    • The time "up & go": A test of basic functional mobility or frail elderly persons
    • Podsiadlo, D.; Richardson, S. The time "up & go": A test of basic functional mobility or frail elderly persons. J. Am. Geriatr. Soc. 1991, 39, 142-148.
    • (1991) J. Am. Geriatr. Soc. , vol.39 , pp. 142-148
    • Podsiadlo, D.1    Richardson, S.2
  • 138
    • 70450195021 scopus 로고
    • Functional evaluation: The barthel index
    • Mahoney, F. I.; Barthel, D. W., Functional evaluation: The barthel index. Md. State Med. J. 1965, 14, 61-65.
    • (1965) Md. State Med. J. , vol.14 , pp. 61-65
    • Mahoney, F.I.1    Barthel, D.W.2
  • 139
    • 0035055357 scopus 로고    scopus 로고
    • Gait, balance, and fall prevention
    • Vaught, S. L. Gait, balance, and fall prevention. Ochsner J. 2001, 3, 94-97.
    • (2001) Ochsner J. , vol.3 , pp. 94-97
    • Vaught, S.L.1
  • 141
    • 77949698020 scopus 로고    scopus 로고
    • A body sensor network with electromyogram and inertial sensors: Multimodal interpretation of muscular activities
    • Ghasemzadeh, H.; Jafari, R.; Prabhakaran, B. A body sensor network with electromyogram and inertial sensors: Multimodal interpretation of muscular activities. IEEE Trans. Inf. Technol. Biomed. 2010, 14, 198-206.
    • (2010) IEEE Trans. Inf. Technol. Biomed. , vol.14 , pp. 198-206
    • Ghasemzadeh, H.1    Jafari, R.2    Prabhakaran, B.3
  • 143
    • 39649097646 scopus 로고    scopus 로고
    • Protection against impact with the ground using wearable airbags
    • Fukaya, K.; Uchida, M. Protection against impact with the ground using wearable airbags. Ind. Health 2008, 46, 59-65.
    • (2008) Ind. Health , vol.46 , pp. 59-65
    • Fukaya, K.1    Uchida, M.2
  • 144
    • 63849156752 scopus 로고    scopus 로고
    • Mobile human airbag system for fall protection using mems sensors and embedded svm classifier
    • Shi, G.; Chan, C. S.; Li, W. G.; Leung, K.-S.; Zou, Y.; Jin, Y. Mobile human airbag system for fall protection using mems sensors and embedded svm classifier. IEEE Sens. J. 2009, 9, 495-503.
    • (2009) IEEE Sens. J. , vol.9 , pp. 495-503
    • Shi, G.1    Chan, C.S.2    Li, W.G.3    Leung, K.-S.4    Zou, Y.5    Jin, Y.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.