-
1
-
-
79961091187
-
Compendium of Physical Activities: A second update of codes and MET values
-
Ainsworth BE, Haskell W, Herrmann SD, et al. Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43(8):1575-81.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.8
, pp. 1575-1581
-
-
Ainsworth, B.E.1
Haskell, W.2
Herrmann, S.D.3
-
3
-
-
35048842427
-
Activity recognition from user-annotated acceleration data
-
Springer-Verlag;
-
Bao L, Intille S. Activity recognition from user-annotated acceleration data. In: Pervasive. Springer-Verlag; 2004. p. 1-17.
-
(2004)
Pervasive
, pp. 1-17
-
-
Bao, L.1
Intille, S.2
-
5
-
-
69349091456
-
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):1770-77.
-
(2009)
Med Sci Sports Exerc
, vol.41
, Issue.9
, pp. 1770-1777
-
-
Bonomi, A.G.1
Goris, A.H.2
Yin, B.3
Westerterp, K.R.4
-
6
-
-
84859590080
-
Divide and conquer: Assessing energy expenditure following physical activity type classification
-
Bonomi AG Plasqui G. Divide and conquer: assessing energy expenditure following physical activity type classification. J Appl Physiol. 2012;112(5):932.
-
(2012)
J Appl Physiol
, vol.112
, Issue.5
, pp. 932
-
-
Bonomi, A.G.1
Plasqui, G.2
-
7
-
-
2442457673
-
Measurement and prediction of METs during household activities in 35- to 45-year-old females
-
Brooks AG, Withers RT, Gore CJ, Vogler AJ, Plummer J, Cormack J. Measurement and prediction of METs during household activities in 35- to 45-year-old females. Eur J Appl Physiol. 2004;91(5-6):638-48.
-
(2004)
Eur J Appl Physiol
, vol.91
, Issue.5-6
, pp. 638-648
-
-
Brooks, A.G.1
Withers, R.T.2
Gore, C.J.3
Vogler, A.J.4
Plummer, J.5
Cormack, J.6
-
8
-
-
57149098106
-
-
Committee PAGA. Washington (DC): U.S. Department of Health and Human Services
-
Committee PAGA. Physical Activity Guidelines Advisory Committee Report. Washington (DC): U.S. Department of Health and Human Services; 2008. p. D-8.
-
(2008)
Physical Activity Guidelines Advisory Committee Report
-
-
-
10
-
-
33646370992
-
A novel method for using accelerometer data to predict energy expenditure
-
Crouter SE, Clowers K, Bassett DR Jr. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol. 2006;100(4):1324-31.
-
(2006)
J Appl Physiol
, vol.100
, Issue.4
, pp. 1324-1331
-
-
Crouter, S.E.1
Clowers, K.2
Bassett Jr., D.R.3
-
11
-
-
77951465020
-
Refined two-regression model for the ActiGraph accelerometer
-
Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR Jr. Refined two-regression model for the ActiGraph accelerometer. Med Sci Sports Exerc. 2010;42(5):1029-37.
-
(2010)
Med Sci Sports Exerc
, vol.42
, Issue.5
, pp. 1029-1037
-
-
Crouter, S.E.1
Kuffel, E.2
Haas, J.D.3
Frongillo, E.A.4
Bassett Jr., D.R.5
-
12
-
-
78650900690
-
Evaluation of neural networks to identify types of activity using accelerometers
-
De Vries SI, Garre FG, Engbers LH, Hildebrandt VH, Van Buuren S. Evaluation of neural networks to identify types of activity using accelerometers. Med Sci Sports Exerc. 2011;43(1):101-7.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.1
, pp. 101-107
-
-
De Vries, S.I.1
Garre, F.G.2
Engbers, L.H.3
Hildebrandt, V.H.4
Van Buuren, S.5
-
13
-
-
80053904505
-
Accuracy of a novel multi-sensor board for measuring physical activity and energy expenditure
-
Duncan GE, Lester J, Migotsky S, Goh J, Higgins L, Borriello G. Accuracy of a novel multi-sensor board for measuring physical activity and energy expenditure. Eur J Appl Physiol. 2011;111(9): 2025-32.
-
(2011)
Eur J Appl Physiol
, vol.111
, Issue.9
, pp. 2025-2032
-
-
Duncan, G.E.1
Lester, J.2
Migotsky, S.3
Goh, J.4
Higgins, L.5
Borriello, G.6
-
14
-
-
39449090035
-
Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions
-
Ermes M Parkka J, Mantyjarvi J, Korhonen I. Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. IEEE Trans Inf Technol Biomed. 2008; 12(1):20-6.
-
(2008)
IEEE Trans Inf Technol Biomed
, vol.12
, Issue.1
, pp. 20-26
-
-
Ermes Parkka M, J.1
Mantyjarvi, J.2
Korhonen, I.3
-
15
-
-
0032680130
-
Detection of posture and motion by accelerometry: A validation study in ambulatory monitoring
-
Foerster FSM, Fahrenberg J. Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring. Comput Human Behav. 1999;15:571-83.
-
(1999)
Comput Human Behav
, vol.15
, pp. 571-583
-
-
Foerster, F.S.M.1
Fahrenberg, J.2
-
16
-
-
83455203430
-
Assessment of physical activity using wearable monitors: Recommendations for monitor calibration and use in the field
-
Freedson P, Bowles HR, Troiano R, Haskell W. Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field. Med Sci Sports Exerc. 2012;44(1 Suppl):S1-4.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.1 SUPPL.
-
-
Freedson, P.1
Bowles, H.R.2
Troiano, R.3
Haskell, W.4
-
17
-
-
83655203046
-
Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: Validation on an independent sample
-
Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J. Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample. J Appl Physiol. 2011;111(6):1804-12.
-
(2011)
J Appl Physiol
, vol.111
, Issue.6
, pp. 1804-1812
-
-
Freedson, P.S.1
Lyden, K.2
Kozey-Keadle, S.3
Staudenmayer, J.4
-
18
-
-
0031894133
-
Calibration of the Computer Science and Application Inc. Accelerometer
-
Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Application Inc. Accelerometer. Med Sci Sports Exerc. 1998;30(5):777-81.
-
(1998)
Med Sci Sports Exerc
, vol.30
, Issue.5
, pp. 777-781
-
-
Freedson, P.S.1
Melanson, E.2
Sirard, J.3
-
19
-
-
80052076109
-
Identifying types of physical activity with a single accelerometer: Evaluating laboratory-trained algorithms in daily life
-
Gyllensten IC, Bonomi AG. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life. IEEE Trans Biomed Eng. 2011;58:2656-63.
-
(2011)
IEEE Trans Biomed Eng
, vol.58
, pp. 2656-2663
-
-
Gyllensten, I.C.1
Bonomi, A.G.2
-
20
-
-
33645791615
-
Predicting activity energy expenditure using the Actical activity monitor
-
Heil DP. Predicting activity energy expenditure using the Actical activity monitor. Res Q Exerc Sports. 2006;77(1):64-80.
-
(2006)
Res Q Exerc Sports
, vol.77
, Issue.1
, pp. 64-80
-
-
Heil, D.P.1
-
22
-
-
77956034337
-
Accelerometer output and MET values of common physical activities
-
Kozey SL, Lyden K, Howe CA, Staudenmayer JW, Freedson PS. Accelerometer output and MET values of common physical activities. Med Sci Sports Exerc. 2010;42(9):1776-84.
-
(2010)
Med Sci Sports Exerc
, vol.42
, Issue.9
, pp. 1776-1784
-
-
Kozey, S.L.1
Lyden, K.2
Howe, C.A.3
Staudenmayer, J.W.4
Freedson, P.S.5
-
23
-
-
79961030937
-
Validation of wearable monitors for assessing sedentary behavior
-
Kozey Keadle S Libertine A, Lyden K, Staudenmayer J, Freedson P. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. 2011;43(8):1561-67.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.8
, pp. 1561-1567
-
-
Kozey Keadle, S.1
Libertine, A.2
Lyden, K.3
Staudenmayer, J.4
Freedson, P.5
-
24
-
-
79651473592
-
A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations
-
Lyden K, Kozey SL, Staudenmeyer JW, Freedson PS. A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. Eur J Appl Physiol. 2011; 111(2):187-201.
-
(2011)
Eur J Appl Physiol
, vol.111
, Issue.2
, pp. 187-201
-
-
Lyden, K.1
Kozey, S.L.2
Staudenmeyer, J.W.3
Freedson, P.S.4
-
25
-
-
77950247206
-
Machine learning methods for classifying human physical activity from on-body accelerometers
-
Mannini A, Sabatini AM. Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors (Basel). 2010;10:1154-75.
-
(2010)
Sensors (Basel)
, vol.10
, pp. 1154-1175
-
-
Mannini, A.1
Sabatini, A.M.2
-
26
-
-
2342539792
-
Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement
-
Mathie MJ, Coster AC, Lovell NH, Celler BG. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physio Meas. 2004; 25(2):R1-20.
-
(2004)
Physio Meas
, vol.25
, Issue.2
-
-
Mathie, M.J.1
Coster, A.C.2
Lovell, N.H.3
Celler, B.G.4
-
27
-
-
6344237275
-
Classification of basic daily movements using a triaxial accelerometer
-
Mathie MJ, Celler BG, Lovell NH, Coster ACF. Classification of basic daily movements using a triaxial accelerometer. Med Biol Eng Comput. 2004;42(5):679-87.
-
(2004)
Med Biol Eng Comput
, vol.42
, Issue.5
, pp. 679-687
-
-
Mathie, M.J.1
Celler, B.G.2
Lovell, N.H.3
Coster, A.C.F.4
-
28
-
-
39149110596
-
Evaluation of low intensity physical activity by triaxial accelerometry
-
Midorikawa T, Tanaka S, Kaneko K, et al. Evaluation of low intensity physical activity by triaxial accelerometry. Obesity (Silver Spring). 2007;25(12):3031-38.
-
(2007)
Obesity (Silver Spring)
, vol.25
, Issue.12
, pp. 3031-3038
-
-
Midorikawa, T.1
Tanaka, S.2
Kaneko, K.3
-
29
-
-
0021022995
-
Estimation of energy expenditure by a portable accelerometer
-
Montoye HJ, Washburn R, Servais S, Ertl A, Webster JG, Nagle FJ. Estimation of energy expenditure by a portable accelerometer. Med Sci Sports Exerc. 1983;15(5):403-7.
-
(1983)
Med Sci Sports Exerc
, vol.15
, Issue.5
, pp. 403-407
-
-
Montoye, H.J.1
Washburn, R.2
Servais, S.3
Ertl, A.4
Webster, J.G.5
Nagle, F.J.6
-
30
-
-
33744527362
-
Classification of gait patterns in the time frequency domain
-
Nyan MN, Tay FE, Seah KH, Sitoh YY. Classification of gait patterns in the time frequency domain. J Biomech. 2006;39(14):2647-56.
-
(2006)
J Biomech
, vol.39
, Issue.14
, pp. 2647-2656
-
-
Nyan, M.N.1
Tay, F.E.2
Seah, K.H.3
Sitoh, Y.Y.4
-
31
-
-
78650151498
-
Sedentary behavior: Emerging evidence for a new health risk
-
Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85(12):1138-41.
-
(2010)
Mayo Clin Proc
, vol.85
, Issue.12
, pp. 1138-1141
-
-
Owen, N.1
Sparling, P.B.2
Healy, G.N.3
Dunstan, D.W.4
Matthews, C.E.5
-
32
-
-
33748577353
-
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. 1626-1634
-
-
Pober, D.M.1
Staudenmayer, J.2
Raphael, C.3
Freedson, P.S.4
-
33
-
-
65249157400
-
Activity identification using body-mounted sensors - A review of classification techniques
-
Preece SJ, Goulermas JY, Kenney LP, Howard D, Meijer K, Crompton R. Activity identification using body-mounted sensors-a review of classification techniques. Physiol Meas. 2009;30(4): R1-33.
-
(2009)
Physiol Meas
, vol.30
, Issue.4
-
-
Preece, S.J.1
Goulermas, J.Y.2
Kenney, L.P.3
Howard, D.4
Meijer, K.5
Crompton, R.6
-
34
-
-
35348971908
-
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. 1419-1427
-
-
Rothney, M.P.1
Neumann, M.2
Beziat, A.3
Chen, K.Y.4
-
35
-
-
48749105828
-
Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers
-
Rothney MP, Schaefer EV, Neumann MM, Choi L, Chen KY. Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity (Silver Spring). 2008; 16(8):1946-52.
-
(2008)
Obesity (Silver Spring)
, vol.16
, Issue.8
, pp. 1946-1952
-
-
Rothney, M.P.1
Schaefer, E.V.2
Neumann, M.M.3
Choi, L.4
Chen, K.Y.5
-
36
-
-
0036763438
-
Descrimination of walking patterns using wavelet-based fractal analysis
-
Sekine M, Tamura T, Fujimoto T, Togawa T, Fukui Y. Descrimination of walking patterns using wavelet-based fractal analysis. IEEE Trans Neural Syst Rehabil Eng. 2002;10(3):188-96.
-
(2002)
IEEE Trans Neural Syst Rehabil Eng
, vol.10
, Issue.3
, pp. 188-196
-
-
Sekine, M.1
Tamura, T.2
Fujimoto, T.3
Togawa, T.4
Fukui, Y.5
-
37
-
-
70350115240
-
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, 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. 1300-1307
-
-
Staudenmayer, J.1
Pober, D.2
Crouter, S.3
Bassett, D.4
Freedson, P.5
-
38
-
-
0033822635
-
Estimation of energy expenditure using CSA accelerometers at hip and wrist sites
-
Swartz AM, Strath SJ, Bassett DR Jr, O'Brien WL, King GA, Ainsworth BE. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med Sci Sports Exerc. 2000; 32(9 Suppl):S450-6.
-
(2000)
Med Sci Sports Exerc
, vol.32
, Issue.9 SUPPL.
-
-
Swartz, A.M.1
Strath, S.J.2
Bassett Jr., D.R.3
O'Brien, W.L.4
King, G.A.5
Ainsworth, B.E.6
-
40
-
-
0038749589
-
Measurement of human daily physical activity
-
Zhang K, Werner P, Sun M, Pi-Sunyer FX, Boozer CN. Measurement of human daily physical activity. Obes Res. 2003;11(1):33-40.
-
(2003)
Obes Res
, vol.11
, Issue.1
, pp. 33-40
-
-
Zhang, K.1
Werner, P.2
Sun, M.3
Pi-Sunyer, F.X.4
Boozer, C.N.5
-
41
-
-
84858704145
-
Physical activity classification using the GENEA wrist worn accelerometer
-
Zhang S, Rowlands AV, Murray P, Hurst T. Physical activity classification using the GENEA wrist worn accelerometer. Med Sci Sports Exerc. 2012;44(4):742-8.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.4
, pp. 742-748
-
-
Zhang, S.1
Rowlands, A.V.2
Murray, P.3
Hurst, T.4
|