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Volumn , Issue , 2011, Pages 318-321

Fall detection with wearable sensors - Safe (SmArt Fall dEtection)

Author keywords

Body Sensor Networks; Machine Learning; MEMS Accelerometers

Indexed keywords

ACTIVITIES OF DAILY LIVING; DATA GATHERING; EXPERIMENTAL DATA; FALL DETECTION; HIGH RATE; MACHINE-LEARNING; MEMS ACCELEROMETERS; OBSERVATIONAL ANALYSIS; RIGHT AND LEFT; TRAINING SETS; WEARABLE SENSORS;

EID: 81255170213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IE.2011.38     Document Type: Conference Paper
Times cited : (74)

References (13)
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  • 2
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    • (2009) Meas. Sci. Technol. , vol.20 , pp. 11
    • Brusey, J.1    Rednic, R.2    Gaura, E.I.3    Kemp, J.4
  • 4
    • 41949126149 scopus 로고    scopus 로고
    • Matthews, and Carol Brayne. Falls in advanced old age: Recalled falls and prospective follow-up of over-90-year-olds in the Cambridge city over-75s cohort study
    • Jane Fleming, Fiona E Matthews, and Carol Brayne. Falls in advanced old age: recalled falls and prospective follow-up of over-90-year-olds in the Cambridge city over-75s cohort study. BMC Geriatrics, 8, 2008.
    • (2008) BMC Geriatrics , pp. 8
    • Fleming, J.1    Fiona, E.2
  • 6
    • 63249132839 scopus 로고    scopus 로고
    • Sensitivity and specificity of fall detection in people aged 40 years and over
    • Maarit Kangas, Irene Vikman, Jimmie Wiklander, Per Lindgren, Lars Nyberg, and Timo Jämsä. Sensitivity and specificity of fall detection in people aged 40 years and over. Gait & Posture, 29(4):571-574, 2009.
    • (2009) Gait & Posture , vol.29 , Issue.4 , pp. 571-574
    • Kangas, M.1    Vikman, I.2    Wiklander, J.3    Lindgren, P.4    Nyberg, L.5    Jämsä, T.6
  • 10
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    • A wearable system for pre-impact fall detection
    • M. N. Nyan, Francis E. H. Tay, and E. Murugasu. A wearable system for pre-impact fall detection. Journal of Biomechanics, 41(16):3475-3481, 2008.
    • (2008) Journal of Biomechanics , vol.41 , Issue.16 , pp. 3475-3481
    • Nyan, M.N.1    Tay, F.E.H.2    Murugasu, E.3
  • 11
    • 56749174212 scopus 로고    scopus 로고
    • A systematic review and metaanalysis of studies using the STRATIFY tool for prediction of falls in hospital patients: How well does it work?
    • David Oliver, Alexandra Papaioannou, Lora Giangregorio, Lehana Thabane, Katerina Reizgys, and Gary Foster. A systematic review and metaanalysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work? Age and Ageing, 37(6):621-627, 2008.
    • (2008) Age and Ageing , vol.37 , Issue.6 , pp. 621-627
    • Oliver, D.1    Papaioannou, A.2    Giangregorio, L.3    Thabane, L.4    Reizgys, K.5    Foster, G.6
  • 12
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    • Use of the 'STRATIFY'falls risk assessment in patients recovering from acute stroke
    • March
    • Jane Smith, Anne Forster, and John Young. Use of the 'STRATIFY'falls risk assessment in patients recovering from acute stroke. Age and Ageing, 35(2):138-143, March 2006.
    • (2006) Age and Ageing , vol.35 , Issue.2 , pp. 138-143
    • Smith, J.1    Forster, A.2    Young, J.3
  • 13
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    • Automatic detection of near falls: Algorithm development and preliminary results
    • Aner Weiss, Ilan Shimkin, Nir Giladi, and M. Hausdorff Jeffrey. Automatic detection of near falls: algorithm development and preliminary results. Biomedical Central, 3(62), 2010.
    • (2010) Biomedical Central , vol.3 , Issue.62
    • Weiss, A.1    Shimkin, I.2    Giladi, N.3    Hausdorff Jeffrey, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.