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Volumn , Issue , 2013, Pages 88-89

Physical activity recognition in free-living from body-worn sensors

Author keywords

Accelerometer; Activity recognition; Free living; Gps; Sensecam; Wearable cameras

Indexed keywords

ACTIVITY RECOGNITION; BODY-WORN SENSORS; ECOLOGICAL VALIDITY; FREE-LIVING; MACHINE LEARNING TECHNIQUES; PHYSICAL ACTIVITY; SENSECAM; WEARABLE CAMERAS;

EID: 84890733277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2526667.2526685     Document Type: Conference Paper
Times cited : (11)

References (6)
  • 1
    • 69349091456 scopus 로고    scopus 로고
    • Detection of type, duration, and intensity of physical activity using an accelerometer
    • Bonomi, A. G., Goris, A., Yin, B., and Westerterp, K. R. Detection of type, duration, and intensity of physical activity using an accelerometer. Med Sci Sports Exerc 41, 9 (2009), 1770-1777.
    • (2009) Med Sci Sports Exerc , vol.41 , Issue.9 , pp. 1770-1777
    • Bonomi, A.G.1    Goris, A.2    Yin, B.3    Westerterp, K.R.4
  • 2
    • 80052076109 scopus 로고    scopus 로고
    • Identifying types of physical activity with a single accelerometer: Evaluating laboratory-trained algorithms in daily life
    • Gyllensten, I. C., and Bonomi, A. G. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life. Biomedical Engineering, IEEE Transactions on 58, 9 (2011), 2656-2663.
    • (2011) Biomedical Engineering, IEEE Transactions on , vol.58 , Issue.9 , pp. 2656-2663
    • Gyllensten, I.C.1    Bonomi, A.G.2
  • 4
    • 65349117069 scopus 로고    scopus 로고
    • Comparison of feature extraction methods for the classification of dynamic activities from accelerometer data
    • Preece, S. J., Goulermas, J. Y., Kenney, L. P., and Howard, D. A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data. Biomedical Engineering, IEEE Transactions on 56, 3 (2009), 871-879.
    • (2009) Biomedical Engineering, IEEE Transactions on , vol.56 , Issue.3 , pp. 871-879
    • Preece, S.J.1    Goulermas, J.Y.2    Kenney, L.P.3    Howard, D.A.4
  • 5
    • 0141700810 scopus 로고    scopus 로고
    • Assessment of physical activity by self-report: Status, limitations, andfuture direction
    • Sallis, J., and Saelens, B. Assessment of physical activity by self-report: status, limitations, andfuture direction. Res Q Exerc Sport 71, 2 (2000), 114.
    • (2000) Res Q Exerc Sport , vol.71 , Issue.2 , pp. 114
    • Sallis, J.1    Saelens, B.2
  • 6
    • 70350115240 scopus 로고    scopus 로고
    • An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
    • Staudenmayer, J., Pober, D., Crouter, S., Bassett, D., and Freedson, P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. Journal of Applied Physiology 107, 4 (2009), 1300-1307.
    • (2009) Journal of Applied Physiology , vol.107 , Issue.4 , pp. 1300-1307
    • Staudenmayer, J.1    Pober, D.2    Crouter, S.3    Bassett, D.4    Freedson, P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.