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Volumn 5859 LNCS, Issue , 2009, Pages 14-23

Behavior analysis based on coordinates of body tags

Author keywords

Activity recognition; Fall detection; Gait; Machine learning

Indexed keywords

ACTIVITY RECOGNITION; BEHAVIOR ANALYSIS; CLASSIFICATION ACCURACY; FALL DETECTION; GAIT; MACHINE-LEARNING; NORMAL WALKING; RADIO SENSORS; SENSOR NOISE; USER'S ACTIVITIES; WALKING ANALYSIS;

EID: 78649502443     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05408-2_2     Document Type: Conference Paper
Times cited : (16)

References (13)
  • 1
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    • 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. Medical Engineering & Physics 30(1), 84-90 (2006).
    • (2006) Medical Engineering & Physics , vol.30 , Issue.1 , pp. 84-90
    • Bourke, A.K.1    Lyons, G.M.2
  • 5
    • 33748329442 scopus 로고    scopus 로고
    • Adaptations to normal human gait on potentially slippery surfaces: The effects of awareness and prior slip experience
    • Heiden, T.L., Sanderson, D.J., Inglis, J.T., Siegmund, G.P.: Adaptations to normal human gait on potentially slippery surfaces: The effects of awareness and prior slip experience. Gait & Posture 24, 237-246 (2006).
    • (2006) Gait & Posture , vol.24 , pp. 237-246
    • Heiden, T.L.1    Sanderson, D.J.2    Inglis, J.T.3    Siegmund, G.P.4
  • 6
    • 46149107931 scopus 로고    scopus 로고
    • Comparison of lowcomplexity fall detection algorithms for body attached accelerometers
    • Kangas, M., Konttila, A., Lindgren, P., Winblad, P., Jamsa, T.: Comparison of lowcomplexity fall detection algorithms for body attached accelerometers. Gait & Posture 28(2), 285-291 (2008).
    • (2008) Gait & Posture , vol.28 , Issue.2 , pp. 285-291
    • Kangas, M.1    Konttila, A.2    Lindgren, P.3    Winblad, P.4    Jamsa, T.5
  • 7
    • 38549179349 scopus 로고    scopus 로고
    • Extracting a diagnostic gait signature
    • Lakany, H.: Extracting a diagnostic gait signature. Pattern recognition 41, 1627-1637 (2008).
    • (2008) Pattern Recognition , vol.41 , pp. 1627-1637
    • Lakany, H.1
  • 8
    • 67049155519 scopus 로고    scopus 로고
    • Fall detection and activity recognition with machine learning
    • Luštrek, M., Kaluža, B.: Fall detection and activity recognition with machine learning. Informatica 33(2), 205-212 (2009).
    • (2009) Informatica , vol.33 , Issue.2 , pp. 205-212
    • Luštrek, M.1    Kaluža, B.2
  • 13
    • 33748879370 scopus 로고
    • Fall detection by wearable sensor and One-Class SVM algorithm
    • Nossum, R.T. (ed.), LNCS, Springer, Heidelberg
    • Zhang, T., Wang, J., Liu, P., Hou, J.: Fall detection by wearable sensor and One-Class SVM algorithm. In: Nossum, R.T. (ed.) ACAI 1987. LNCS, vol. 345, pp. 858-863. Springer, Heidelberg (1988).
    • (1988) ACAI 1987 , vol.345 , pp. 858-863
    • Zhang, T.1    Wang, J.2    Liu, P.3    Hou, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.