Cited by 3,825Physical Activity and HealthContext-Aware Activity Recognition SystemsCardiovascular and exercise physiology

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Calibration of the Computer Science and Applications, Inc. accelerometer

FREEDSON, PATTY S., MELANSON, EDWARD, SIRARD, JOHN·1998·Medicine & Science in Sports & Exercise

DOI 10.1097/00005768-199805000-00021

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Abstract

PURPOSE: We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. METHODS: Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). RESULTS: Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were < or = 1951, 1952-5724, 5725-9498, > or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). CONCLUSIONS: These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.

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A method to assess energy expenditure in children and adults.
Bouchard, C., Tremblay, A., Leblanc, C., Lortie, G., Savard, R., & Thériault, G. (1983) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/37.3.461 · Cited by 924
Validity of the Computer Science and Applications, Inc. (CCA) activity monitor
Melanson, E. L., & Freedson, P. S. (1995) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199506000-00021 · Cited by 417
Self-citation
The stability of children??s physical activity as measured by accelerometry and self-report
Janz, K. F., WITT, J. D., & Mahoney, L. T. (1995) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199509000-00014 · Cited by 288
The Caltrac accelerometer as a physical activity monitor for school-age children
Sallis, J. F., Buono, M. J., Roby, J. J., Carlson, D., & NELSON, J. A. (1990) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199010000-00023 · Cited by 201
Physical Activity Epidemiology
Caspersen, C. J. (1989) · Exercise and Sport Sciences Reviews · doi:10.1249/00003677-198900170-00015 · Cited by 186
The Validity of the Tritrac-R3D Activity Monitor for the Assessment of Physical Activity in Children
Welk, G. J., & Corbin, C. B. (1995) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.1995.10608834 · Cited by 146
Observations on the design and specification of a wrist-worn human activity monitoring system
Redmond, D. P., & Hegge, F. W. (1985) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200979 · Cited by 131
Walking and running energy expenditure estimated by Caltrac and indirect calorimetry
Haymes, E. M., & Byrnes, W. C. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199312000-00008 · Cited by 80
Non-exercise daily energy expenditure and physical activity pattern in male endurance athletes
RAS, N. A., Mimeault, N., Serresse, O., Boulay, M. R., & Tremblay, A. (1991) · European Journal of Applied Physiology · doi:10.1007/bf00233845 · Cited by 44
Validity of the Caltrac Accelerometer in Estimating Energy Expenditure and Activity in Children and Adults
Maliszewski, A. F., Freedson, P. S., Ebbeling, C. J., Crussemeyer, J. A., & Kastango, K. B. (1991) · Pediatric Exercise Science · doi:10.1123/pes.3.2.141 · Cited by 40
Self-citation

Show all 10 references

Research works printed but not linked: 2

Casperson, 1989, Exerc Sport Sci Rev, 17, 423
Janz, 1995, Med Sci Sports Exerc, 27, 1326

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Authors: FREEDSON, P. S., MELANSON, E., & SIRARD, J.
Affiliations: University of Massachusetts Amherst (US)
ORCID: FREEDSON, PATTY S.
MELANSON, EDWARD
SIRARD, JOHN
Venue: Medicine & Science in Sports & Exercise
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 1998-05
Volume: 30
Issue: 5
Pages: 777-781
ISSN: 0195-9131 (ISSN-L)
DOI: 10.1097/00005768-199805000-00021
OpenAlex: W2011781303
Cited by: 3,825
References: 10
Citations by year: 2026: 128 · 2025: 171 · 2024: 194 · 2023: 209 · 2022: 259 · 2021: 323 · 2020: 274 · 2019: 286 · 2018: 238 · 2017: 198 · 2016: 219 · 2015: 228 · 2014: 194 · 2013: 171 · 2012: 142
FWCI: 5.33
Type: journal article
Language: en
Open access: closed
Locations: Medicine & Science in Sports & Exercise (publishedVersion)
PubMed (publishedVersion)
ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
Keywords: accelerometer calibration, wearable activity trackers, exercise intensity classification, energy expenditure estimation, treadmill exercise, oxygen consumption, body mass, physical activity monitoring
MeSH terms: Adult, Calibration, Energy Metabolism, Exercise Test, Female, Humans, Male, Physical Fitness, Reference Values

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Calibration of the Computer Science and Applications, Inc. accelerometer

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