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Volumn , Issue , 2010, Pages 296-301

Accelerometer's position free human activity recognition using a hierarchical recognition model

Author keywords

Accelerometer; Autoregressive models; Human activity recognition; Linear discriminant analysis

Indexed keywords

DISCRIMINANT ANALYSIS; PATTERN RECOGNITION;

EID: 77957899304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HEALTH.2010.5556553     Document Type: Conference Paper
Times cited : (45)

References (24)
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  • 6
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  • 8
    • 4644220755 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • Springer Berlin/Heidelberg
    • L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in Pervasive Computing. Springer Berlin/Heidelberg, 2004, pp. 158-175.
    • (2004) Pervasive Computing , pp. 158-175
    • Bao, L.1    Intille, S.S.2
  • 10
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    • Wearable feedback systems for rehabilitation
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  • 12
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    • Classification of a known sequence of motions and postures from accelerometry data using adapted gaussian mixture models
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    • (2006) Physiol. Meas , vol.27 , pp. 935951
    • Allen, F.1    Ambikairajah, E.2    Lovell, N.3    Celler, B.4
  • 17
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    • New neural network classifier of fall-risk based on the mahalanobis distance and kinematic parameters assessed by a wearable device
    • D. Giansanti, V. Macellari, and G. Maccioni, "New neural network classifier of fall-risk based on the mahalanobis distance and kinematic parameters assessed by a wearable device," Physiol. Meas, vol. 29, p. N11N19, 2008.
    • (2008) Physiol. Meas , vol.29
    • Giansanti, D.1    Macellari, V.2    Maccioni, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.