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Volumn 92, Issue , 2011, Pages 85-92

Elder care's fall detection system

Author keywords

aging; body area network; fall detection; health monitoring

Indexed keywords

BODY AREA NETWORK; COMPLETE SYSTEM; ELDER CARE; FALL DETECTION; HEALTH MONITORING; RAPID DETECTION;

EID: 80053036503     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19937-0_11     Document Type: Conference Paper
Times cited : (11)

References (14)
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  • 3
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    • Bourke, A., Lyons, G.: Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait and Posture 26(2), 194-199 (2007) (Pubitemid 46880343)
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    • Bourke, A.K.1    O'Brien, J.V.2    Lyons, G.M.3
  • 4
    • 38149045656 scopus 로고    scopus 로고
    • A threshold-based fall-detection algorithm using a biaxial gyroscope sensor
    • Bourke, A., Lyons, G.: A threshold-based fall-detection algorithm using a biaxial gyroscope sensor. Medical Engineering & Physics 30(1), 84-90 (2008)
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    • Bourke, A.1    Lyons, G.2
  • 7
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    • Ageing characterises the demographic perspectives of the European societies
    • Retrieved
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  • 8
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  • 12
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    • WHO Regional Office for Europe (Health Evidence Network report
    • Todd, C., Skelton, D.: What are the main risk factors for falls among older people and what are the most effective interventions to prevent these falls? Tech. rep., WHO Regional Office for Europe (Health Evidence Network report) (2004)
    • (2004) Tech. rep.
    • Todd, C.1    Skelton, D.2
  • 14
    • 0034333741 scopus 로고    scopus 로고
    • Distinguishing fall activities from normal activities by velocity characteristics
    • DOI 10.1016/S0021-9290(00)00117-2, PII S0021929000001172
    • Wu, G.: Distinguishing fall activities from normal activities by velocity characteristics. Journal of Biomechanics 33, 1497-1500 (2000) (Pubitemid 30625108)
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    • Wu, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.