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Volumn 6839 LNAI, Issue , 2011, Pages 447-454

A wearable physical activity sensor system: Its classification algorithm and performance comparison of different sensor placements

Author keywords

accelerometer; k nearest neighbor; linear discriminate analysis; Physical activity classification

Indexed keywords

ACCELERATION SIGNALS; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; DISCRIMINATE ANALYSIS; FEATURE GENERATION; FEATURE REDUCTION; FEATURE VECTORS; FREQUENCY DOMAINS; K-NEAREST NEIGHBORS; OPTIMAL COMBINATION; PERFORMANCE COMPARISON; PHYSICAL ACTIVITY; SENSOR MODULES; SENSOR PLACEMENT; SENSOR SYSTEMS; SIGNAL PREPROCESSING;

EID: 84862971664     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25944-9_58     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • Preece, S.J., Goulermas, J.Y., Kenney, L.P.J., Howard, D.: A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities from Accelerometer Data. IEEE Trans. Biomedical Engneering 56, 871-879 (2009)
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    • Preece, S.J.1    Goulermas, J.Y.2    Kenney, L.P.J.3    Howard, D.4
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    • A Person-Centered Measurement System for Quantification of Physical Activity and Energy Expenditure at Workplaces
    • Karsh, B.-T. (ed.) EHAWC 2009. Springer, Heidelberg
    • Weber, B., Hermanns, I., Ellegast, R., Kleinert, J.: A Person-Centered Measurement System for Quantification of Physical Activity and Energy Expenditure at Workplaces. In: Karsh, B.-T. (ed.) EHAWC 2009. LNCS, vol. 5624, pp. 121-130. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5624 , pp. 121-130
    • Weber, B.1    Hermanns, I.2    Ellegast, R.3    Kleinert, J.4
  • 8
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    • A Novel Method for Using Accelerometer Data to Predict Energy Expenditure
    • Crouter, S.E., Clowers, K.G., Bassett Jr., D.R.: A Novel Method for Using Accelerometer Data to Predict Energy Expenditure. Eur. J. of Applied Physiology 100, 1324-1331 (2001)
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    • Crouter, S.E.1    Clowers, K.G.2    Bassett Jr., D.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.