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Volumn 43, Issue 1, 2011, Pages 101-107

Evaluation of neural networks to identify types of activity using accelerometers

Author keywords

Accelerometry; classification; physical activity; statistics; validity

Indexed keywords

ACCELERATION; ADULT; ANKLE; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEMALE; HIP; HUMAN; MALE; MIDDLE AGED; MOTOR ACTIVITY; VALIDATION STUDY;

EID: 78650900690     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0b013e3181e5797d     Document Type: Article
Times cited : (58)

References (20)
  • 1
    • 33751542200 scopus 로고    scopus 로고
    • The physical activity patterns of European youth with reference to methods of assessment
    • Armstrong N, Welsman JR. The physical activity patterns of European youth with reference to methods of assessment. Sports Med. 2006;36(12):1067-86.
    • (2006) Sports Med , vol.36 , Issue.12 , pp. 1067-86
    • Armstrong, N.1    Welsman, J.R.2
  • 2
    • 69749105447 scopus 로고    scopus 로고
    • Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer
    • Bonomi AG, Plasqui G, Goris AH, Westerterp KR. Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer. J Appl Physiol. 2009;107(3):655-61.
    • (2009) J Appl Physiol , vol.107 , Issue.3 , pp. 655-61
    • Bonomi, A.G.1    Plasqui, G.2    Goris, A.H.3    Westerterp, K.R.4
  • 3
    • 69349091456 scopus 로고    scopus 로고
    • Detection of type, duration, and intensity of physical activity using an accelerometer
    • Bonomi AG, Goris AH, Yin B, Westerterp KR. Detection of type, duration, and intensity of physical activity using an accelerometer. Med Sci Sports Exerc. 2009;41(9):1770-7.
    • (2009) Med Sci Sports Exerc , vol.41 , Issue.9 , pp. 1770-7
    • Bonomi, A.G.1    Goris, A.H.2    Yin, B.3    Westerterp, K.R.4
  • 4
    • 0043208946 scopus 로고    scopus 로고
    • Reexamination of validity and reliability of the CSA monitor in walking and running
    • Brage S, Wedderkopp N, Franks PW, Andersen LB, Froberg K. Reexamination of validity and reliability of the CSA monitor in walking and running. Med Sci Sports Exerc. 2003;35(8):1447-54.
    • (2003) Med Sci Sports Exerc , vol.35 , Issue.8 , pp. 1447-54
    • Brage, S.1    Wedderkopp, N.2    Franks, P.W.3    Andersen, L.B.4    Froberg, K.5
  • 6
    • 85060945396 scopus 로고    scopus 로고
    • Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring
    • Esliger DW, Copeland JL, Barnes JD, Tremblay MS. Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. J Phys Act Health. 2005;2(3):366-83.
    • (2005) J Phys Act Health , vol.2 , Issue.3 , pp. 366-83
    • Esliger, D.W.1    Copeland, J.L.2    Barnes, J.D.3    Tremblay, M.S.4
  • 7
    • 0034852323 scopus 로고    scopus 로고
    • Validation of the Tracmor triaxial accelerometer system for walking
    • Levine JA, Baukol PA, Westerterp KR. Validation of the Tracmor triaxial accelerometer system for walking. Med Sci Sports Exerc. 2001;33(9):1593-7.
    • (2001) Med Sci Sports Exerc , vol.33 , Issue.9 , pp. 1593-7
    • Levine, J.A.1    Baukol, P.A.2    Westerterp, K.R.3
  • 10
    • 57649201598 scopus 로고    scopus 로고
    • Classification of motor activities through derivative dynamic time warping applied on accelerometer data
    • IEEE EMBS; 2007 Aug 23-26. Lyon (France): Cité Internationale
    • Muscillo R, Conforto S, Schmid M, Caselli P, D'Alessio T. Classification of motor activities through derivative dynamic time warping applied on accelerometer data. In: Proceedings of the 29th Annual International Conference of the IEEE EMBS; 2007 Aug 23-26. Lyon (France): Cité Internationale; 2007. p. 4930-3.
    • (2007) Proceedings of the 29th Annual International Conference of the , pp. 4930-3
    • Muscillo, R.1    Conforto, S.2    Schmid, M.3    Caselli, P.4    D'Alessio, T.5
  • 11
    • 33748577353 scopus 로고    scopus 로고
    • Development of novel techniques to classify physical activity mode using accelerometers
    • Pober DM, Staudenmayer J, Raphael C, Freedson PS. Development of novel techniques to classify physical activity mode using accelerometers. Med Sci Sports Exerc. 2006;38(9):1626-34.
    • (2006) Med Sci Sports Exerc , vol.38 , Issue.9 , pp. 1626-34
    • Pober, D.M.1    Staudenmayer, J.2    Raphael, C.3    Freedson, P.S.4
  • 12
    • 0034746992 scopus 로고    scopus 로고
    • Validation of the Stanford 7-day recall to assess habitual physical activity
    • Richardson MT, Ainsworth BE, Jacobs DR, Leon AS. Validation of the Stanford 7-day recall to assess habitual physical activity. Ann Epidemiol. 2001;11(2):145-53.
    • (2001) Ann Epidemiol , vol.11 , Issue.2 , pp. 145-53
    • Richardson, M.T.1    Ainsworth, B.E.2    Jacobs, D.R.3    Leon, A.S.4
  • 14
    • 35348971908 scopus 로고    scopus 로고
    • An artificial neural network model of energy expenditure using nonintegrated acceleration signals
    • Rothney MP, Neumann M, Beziat A, Chen KY. An artificial neural network model of energy expenditure using nonintegrated acceleration signals. J Appl Physiol. 2007;103(4):1419-27.
    • (2007) J Appl Physiol , vol.103 , Issue.4 , pp. 1419-27
    • Rothney, M.P.1    Neumann, M.2    Beziat, A.3    Chen, K.Y.4
  • 15
    • 1542316759 scopus 로고    scopus 로고
    • Validation of the RT3 triaxial accelerometer for the assessment of physical activity
    • Rowlands AV, Thomas PW, Eston RG, Topping R. Validation of the RT3 triaxial accelerometer for the assessment of physical activity. Med Sci Sports Exerc. 2004;36(3):518-24.
    • (2004) Med Sci Sports Exerc , vol.36 , Issue.3 , pp. 518-24
    • Rowlands, A.V.1    Thomas, P.W.2    Eston, R.G.3    Topping, R.4
  • 16
    • 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 SE, Bassett DR, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol. 2009;107(4):1300-7.
    • (2009) J Appl Physiol , vol.107 , Issue.4 , pp. 1300-7
    • Staudenmayer, J.1    Pober, D.2    Crouter, S.E.3    Bassett, D.R.4    Freedson, P.5
  • 17
    • 0035110824 scopus 로고    scopus 로고
    • Challenges and opportunities for measuring physical activity in sedentary adults
    • Tudor-Locke CE, Myers AM. Challenges and opportunities for measuring physical activity in sedentary adults. Sports Med. 2001;31(2):91-100.
    • (2001) Sports Med , vol.31 , Issue.2 , pp. 91-100
    • Tudor-Locke, C.E.1    Myers, A.M.2
  • 19
    • 0038591130 scopus 로고    scopus 로고
    • Introduction to physical activity research
    • Welk GJ, editor Champaign (IL): Human Kinetics
    • Welk GJ. Introduction to physical activity research. In: Welk GJ, editor. Physical Activity Assessments for Health-Related Research. Champaign (IL): Human Kinetics; 2002. p. 3-18.
    • (2002) Physical Activity Assessments for Health-Related Research , pp. 3-18
    • Welk, G.J.1
  • 20
    • 4444259341 scopus 로고    scopus 로고
    • Reliability of accelerometrybased activity monitors: A generalizability study
    • Welk GJ, Schaben JA, Morrow JR Jr. Reliability of accelerometrybased activity monitors: a generalizability study. Med Sci Sports Exerc. 2004;36(9):1637-45.
    • (2004) Med Sci Sports Exerc , vol.36 , Issue.9 , pp. 1637-45
    • Welk, G.J.1    Schaben, J.A.2    Morrow Jr., J.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.