Abstract
Main objective of this pilot study was to present a method to convenient monitoring of detailed ambulatory movements in daily life, by use of a portable measurement device employing single tri-axial accelerometer. In addition, the purpose of this review article is to provide researchers with a guide to understanding some commonly-used accelerometers in physical activity assessment. Specially, we implemented a small-size wearable data storing system in real time that we used Micro SD-Memory card for convenient and long period habitual physical activity monitoring during daily life. Activity recognition on these features was performed using Fuzzy c means classification algorithm recognized standing, sitting, lying, walking and running with 99.5% accuracy. This study was pilot test for our developed system’s feasibilities. Further application of the present technique may be helpful in the health promotion of both young and elderly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. Zimmet, K.G. Alberti, J. Shaw, Global and societal implications of the diabetes epidemic. Nature 414, 782–787 (2001)
S.M. Grundy, B. Hansen, S.C. Smith Jr, J.I. Cleeman, R.A. Kahn, Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Association conference on scientific issues related to management. Circulation 109, 551–556 (2004)
R.H. Eckel, S.M. Grundy, P.Z. Zimmet, The metabolic syndrome. Lancet 365, 1415–28
P.D. Thompson, D. Buchner, I.L. Pina, et al., Exercise and physical activity in the prevention and treatment of atherosclerotic cardiovascular disease: a statement from the Council on Clinical Cardiology (Subcommittee on Exercise, Rehabilitation, and Prevention) and the Council on Nutrition, Physical Activity, and Metabolism (Subcommittee on Physical Activity). Circulation 107, 3109–3116 (2003)
J. Tuomilehto, J. Lindstrom, J.G. Eriksson, et al., Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N. Engl. J. Med. 344, 1343–1350 (2001)
Y. Ohtaki, M. Susumago, A. Suzuki, et al., Automatic classification of ambulatory movements and evaluation of energy consumptions utilizing accelerometers and a barometer. Microsyst. Technol. 11, 1034–1040 (2005)
D.R. Bassett Jr. Validity and reliability issues in objective monitoring of physical activity. Res. Q Exerc. Sport 71, S30–S36 (2000)
C.L. Craig, A.L. Marshall, M. Sjostrom, A.E. Bauman, et al., International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 35, 1381–1395 (2003)
K.M. Allor, J.M. Pivarnik, Stability and convergent validity of three physical activity assessments. Med. Sci. Sports Exerc. 33, 671–676 (2001)
M.J. LaMonte, B.E. Ainsworth, C. Tudor-Locke, Assessment of physical activity and energy expenditure, in Obesity: Etiology, Assessment, Treatment and Prevention, ed. by R.E. Andersen (Human Kinetics, Champaign, IL, 2003), pp. 111–117
C.V.C. Bouten, W.P.H.G. Verboeket-Van Venne, et al., Daily physical activity assessment: comparison between movement registration and doubly labeled water. J. Appl. Physiol. 81, 1019–1026 (1996)
U.S. Department of Health & Human Services, Physical Activity and Health: A Report of the Surgeon General (U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, The President’s Council on Physical Fitness and Sports, Atlanta, GA, 1996)
P.S. Freedson, K. Miller Objective monitoring of physical activity using motion sensors and heart rate. Res. Quart. Exerc. Sport 71, 2129 (2000)
H.J. Montoye, H.C.G. Kemper, W.H.M. Saris, R.A. Washburn, Measuring Physical Activity and Energy Expenditure (Human Kinetics, Campaign, IL, 1996)
R.K. Dishman, R.A. Washburn, D.A. Schoeller, Measurement of physical activity. Quest. 53, 295–309 (2001)
A. Bhattacharya, E.P. McCutcheon, E. Shvartz, J.E. Greenleaf, Body acceleration distribution and O2 uptake in humans during running and jumping. J. Appl. Physiol. 49, 881–887 (1980)
G.J. Welk, Physical Activity Assessments for Health-Related Research (Human Kinetics, Champaign, IL, 2002)
C.V.C. Bouten, A.A.H.J. Sauren, M. Verduin, J.D. Janssen, Effects of placement and orientation of body-fixed accelerometers on the assessment of energy expenditure during walking. Med. Biol. Eng. Comput. 35, 50–56 (1997)
K.Y. Chen, D.R. Bassett, The technology of accelerometry-based activity monitors: current and future. Med. Sci. Sport Exerc. 37(11), S490–S500 (2005)
E.L. Melanson, P.S. Freedson Physical activity assessment: a review of methods. Crit. Rev. Food Sci. Nutr. 36, 385–396 (1996)
T.G. Ayen, H.J. Montoye Estimation of energy expenditure with a simulated threedimensional accelerometer. J. Ambul. Monit. 1(4), 293–301 (1988)
K.R. Westerterp, Physical activity assessment with accelerometers. Int. J. Obes. 23(Suppl 3), S45–S49 (1999)
B.G. Steele, B. Belza, K. Cain, C. Warms, J. Coopersmith, J. Howard, Bodies in motion: monitoring daily activity and exercise with motion sensors in people with chronic pulmonary disease. J. Rehabil. Res. Dev. 40(Suppl 2) 45–58 (2003)
M.J. Lamonte, B.E. Ainsworth, Quantifying energy expenditure and physical activity in the context of dose response. Med. Sci. Sports Exerc. 33, S370–S378 (2001)
R.K. Dishman, R.A. Washburn, D.A. Schoeller, Measurement of physical activity. Quest. 53, 295–309 (2001)
K.R. Westerterp, Physical activity assessment with accelerometers. Int. J. Obes. 23(Suppl 3), S45–S49 (1999)
M.J. Mathie, A.C.F. Coster, N.H. Lovell, B.G. Celler, Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. 25, R1–R20 (2004)
C.V.C. Bouten, K.T.M. Koekkoek, M. Verduin, R. Kodde, J.D. Janssen, A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans. Biomed. Eng. 44(3):136–147 (1997)
A.K. Nakahara, E.E. Sabelman, D.L. Jaffe, Development of a second generation wearable accelerometric motion analysis system. Proceedings of the first joint EMBS/BMES conference, 1999, p. 630
K. Aminian, P. Robert, E.E. Buchser, B. Rutschmann, D. Hayoz, M. Depairon, Physical activity monitoring based on accelerometry. Med. Biol. Eng. Comput. 37, 304–308 (1999)
M.J. Mathie, N.H. Lovell, C.F. Coster, B.G. Celler, Determining activity using a triaxial accelerometer, in Proceedings of the Second Joint EMBS/BMES Conference, 2002, pp. 2481–2482
Acknowledgments
This study was supported by a grant of the Seoul R&BD Program, Republic of Korea (10526) and the Ministry of Knowledge Economy (MKE) and Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Strategic Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Lee, M., Kim, J., Jee, S.H., Yoo, S.K. (2010). Review of Daily Physical Activity Monitoring System Based on Single Triaxial Accelerometer and Portable Data Measurement Unit. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_44
Download citation
DOI: https://doi.org/10.1007/978-90-481-9419-3_44
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9418-6
Online ISBN: 978-90-481-9419-3
eBook Packages: EngineeringEngineering (R0)