The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
The Technology of Accelerometry-Based Activity Monitors: Current and Future
Abstract
PURPOSE: This paper reviews accelerometry-based activity monitors, including single-site first-generation devices, emerging technologies, and analytical approaches to predict energy expenditure, with suggestions for further research and development. METHODS: The physics and measurement principles of the accelerometer are described, including the sensor properties, data collections, filtering, and integration analyses. The paper also compares these properties in several commonly used single-site accelerometers. The emerging accelerometry technologies introduced include the multisensor arrays and the combination of accelerometers with physiological sensors. The outputs of accelerometers are compared with criterion measures of energy expenditure (indirect calorimeters and double-labeled water) to develop mathematical models (linear, nonlinear, and variability approaches). RESULTS: The technologies of the sensor and data processing directly influence the results of the outcome measurement (activity counts and energy expenditure predictions). Multisite assessment and combining accelerometers with physiological measures may offer additional advantages. Nonlinear approaches to predict energy expenditure using accelerometer outputs from multiple sites and orientation can enhance accuracy. CONCLUSIONS: The development of portable accelerometers has made objective assessments of physical activity possible. Future technological improvements will include examining raw acceleration signals and developing advanced models for accurate energy expenditure predictions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Despite the numerous validation studies already published, the validity of physical activity questionnaires for activity EE estimation remains unclear [63].”
Citations
Cites
Yu, S. M. (1998) · Maternal and Child Health Journal · doi:10.1023/a:1021801927353 · Cited by 3,876
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
Medical Instrumentation-Application and Design
Webster, J. G. (1978) · Journal of Clinical Engineering · doi:10.1097/00004669-197807000-00017 · Cited by 1,846
Calibration of Accelerometer Output for Children
Freedson, P. S., POBER, D. M., & Janz, K. F. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185658.28284.ba · Cited by 1,150
Energy expenditure by doubly labeled water: validation in humans and proposed calculation
Schoeller, D. A., Ravussin, É., Schutz, Y., Acheson, K. J., Baertschi, P., & Jéquier, E. (1986) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.1986.250.5.r823 · Cited by 683
Calibration of Accelerometer Output for Adults
MATTHEW, C. E. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185659.11982.3d · Cited by 651
Eston, R. G., Rowlands, A. V., & Ingledew, D. K. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.84.1.362 · Cited by 643
Validity of four motion sensors in measuring moderate intensity physical activity
Bassett, D. R. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00006 · Cited by 533
Self-citationValidity of accelerometry for the assessment of moderate intensity physical activity in the field
HENDELMAN, D., MILLER, K., BAGGETT, C., DEBOLD, E., & FREEDSON, P. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00002 · Cited by 516
Estimation of energy expenditure using CSA accelerometers at hip and wrist sites
Swartz, A. M., Strath, S. J., Bassett, D. R., BRIEN, W. L. O., King, G. A., & Ainsworth, B. E. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00003 · Cited by 514
Self-citation
Cited by
Sorted by citations
Items 501–600 of 994
Marin, F., Lepetit, K., Fradet, L., Hansen, C., & Ben-Mansour, K. (2020) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2020.109834 · Cited by 13
Bortone, I., Castellana, F., Lampignano, L., Zupo, R., Moretti, B., Giannelli, G., Panza, F., & Sardone, R. (2020) · Sensors · doi:10.3390/s20164585 · Cited by 15
A Novel Accelerometry-Based Metric to Improve Estimation of Whole-Body Mechanical Load
Hollville, E., Couturier, A., Guilhem, G., & Rabita, G. (2021) · Sensors · doi:10.3390/s21103398 · Cited by 15
Curran, F., Dowd, K., Peiris, C. L., van der Ploeg, H. P., Tremblay, M. S., & O’Donoghue, G. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19159666 · Cited by 13
Development of accelerometry-based fall detection : from laboratory environment to real life
Kangas, M. (2011) · Cited by 13
McVeigh, J. A., & Norris, S. A. (2012) · eSpace (Curtin University) · doi:10.7196/sajsm.178 · Cited by 13
Li, S., Howard, J. T., Sosa, E. T., Cordova, A., Parra-Medina, D. M., & Yin, Z. (2020) · JMIR Formative Research · doi:10.2196/16727 · Cited by 13
Ruiz-Zafra, A., Orantes-González, E., Noguera, M., Benghazi, K., & Heredia-Jimenez, J. (2015) · Sensors · doi:10.3390/s150818270 · Cited by 13
Acuna, M., & Karduna, A. R. (2012) · Ergonomics · doi:10.1080/00140139.2012.676672 · Cited by 13
Hendrick, P. A., Milosavljevic, S., Bell, M. L., Hale, L. A., Hurley, D. A., McDonough, S., Melloh, M., & Baxter, D. G. (2009) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-10-136 · Cited by 14
Is There a Sex Difference in Accelerometer Counts During Walking in Older Adults?
Domelen, D. R. V., Caserotti, P., Brychta, R. J., Harris, T. B., Patel, K. V., Chen, K. Y., Arnardóttir, N. Ý., Eirikdottir, G., Launer, L. J., Gudnason, V. G., et al. (2014) · Journal of Physical Activity and Health · doi:10.1123/jpah.2012-0050 · Cited by 13
Self-citationConger, S. A., Scott, S. N., & Bassett, D. R. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093540 · Cited by 13
Self-citationLindsay, T. R., Yaggie, J. A., & McGregor, S. J. (2016) · Sports Biomechanics · doi:10.1080/14763141.2015.1123760 · Cited by 13
Emerging Methods and Technologies for Tracking Physical Activity in the Built Environment
Doherty, S. T. (2009) · Emerald Group Publishing Limited eBooks · doi:10.1108/9781848558458-009 · Cited by 13
Influence of Acute Anterior Cruciate Ligament Deficiency in Gait Variability
Tzagarakis, G. N., Tsivgoulis, S., Papagelopoulos, P., Mastrokalos, D. S., Papadakis, N. C., Kampanis, N., Kontakis, G., Nikolaou, P., & Katonis, P. (2010) · Journal of International Medical Research · doi:10.1177/147323001003800214 · Cited by 13
Design of a Compact System Using a MEMS Accelerometer to Measure Body Posture and Ambulation
Bliley, K. E., Schwab, D., Holmes, D. R. I. I. I., Kane, P. H., Levine, J. A., Daniel, E. S., & Gilbert, B. K. (2006) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2006.73 · Cited by 13
Methods of Assessing Sedentary Behaviour
Marconcin, P., Júdice, P. B., Ferrari, G., Werneck, A. O., & Marques, A. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.99567 · Cited by 12
Chai, C., Yang, X. M., Zheng, Y., Heyat, M. B. B., Li, Y., Yang, D.-B., Chen, Y.-H., & Sawan, M. (2025) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2025.117321 · Cited by 12
Scott, K. A., & Browning, R. C. (2016) · Journal of Occupational and Environmental Hygiene · doi:10.1080/15459624.2016.1143946 · Cited by 14
Correa, J. B., Apolzan, J. W., Shepard, D. N., Heil, D. P., Rood, J. C., & Martin, C. K. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0461 · Cited by 13
Santos‐Báez, L. S., Garbarini, A., Shaw, D., Cheng, B., Popp, C. J., Manoogian, E. N. C., Panda, S., & Laferrère, B. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.106872 · Cited by 13
Coolbaugh, C. L., Raymond, S. C., Jr., & Hawkins, D. A. (2015) · JMIR Research Protocols · doi:10.2196/resprot.3966 · Cited by 13
Associations Between Lifestyle Physical Activity and Body Image Attitudes Among Women
Rote, A. E., Swartz, A. M., & Klos, L. A. (2013) · Women & Health · doi:10.1080/03630242.2013.773956 · Cited by 12
Bruder, A. M., McClelland, J. A., Shields, N., Dodd, K., Hau, R., van de Water, A. T. M., & Taylor, N. F. (2017) · Disability and Rehabilitation · doi:10.1080/09638288.2017.1288764 · Cited by 13
Reliability and Validity of the Cancer Prevention Study-3 Physical Activity Survey Items
Rees‐Punia, E., Matthews, C. E., Evans, E. M., Keadle, S. K., Anderson, R. L., Gay, J. L., Schmidt, M. D., Gapstur, S. M., & Patel, A. V. (2019) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2018-0052 · Cited by 13
Bao, T., Gao, J., Wang, J., Yang, C., Xu, F., Qiao, G., & Li, F. (2023) · Frontiers in Robotics and AI · doi:10.3389/frobt.2023.1265543 · Cited by 18
Combined association of physical activity and diet with C-reactive protein among smokers
Loprinzi, P. D., & Walker, J. F. (2015) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/s40200-015-0181-y · Cited by 11
Fernández, A., Candás, J. L. C., Usamentiaga, R., Álvarez-Álvarez, E., & Casado, R. (2015) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits.2015.7297728 · Cited by 11
Tong, C., Sims‐Gould, J., & McKay, H. A. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.08.010 · Cited by 11
Pinheiro, M. B., Ferreira, M. L., Refshauge, K. M., Hopper, J. L., Maher, C. G., Hartvigsen, J., Koes, B. W., Hübscher, M., & Ferreira, P. H. (2016) · Twin Research and Human Genetics · doi:10.1017/thg.2016.68 · Cited by 11
Varela-Mato, V., Yates, T. E., Stensel, D. J., Biddle, S., & Clemes, S. A. (2017) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2017.1335204 · Cited by 12
Physical Activity Recognition Using a Wearable Accelerometer
Bonomi, A. G. (2010) · Philips Research · doi:10.1007/978-90-481-3258-4_3 · Cited by 12
Moderate increases in daily step count are associated with reduced IL6 and CRP in women with PCOS
Webb, M. A., Mani, H., Robertson, S., Waller, H. L., Webb, D. R., Edwardson, C. L., Bodicoat, D. H., Yates, T. E., Khunti, K., & Davies, M. J. (2018) · Endocrine Connections · doi:10.1530/ec-18-0438 · Cited by 10
Objective evaluation of physical activity pattern using smart devices
Šimaitytė, M., Petrėnas, A., Kravčenko, J., Kaldoudi, E., & Marozas, V. (2019) · Scientific Reports · doi:10.1038/s41598-019-38638-z · Cited by 12
Clevenger, K. A., Erickson, K. T., Grady, S. C., & Pfeiffer, K. A. (2021) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2021.03.012 · Cited by 11
Head movements during two computer work tasks assessed by accelerometry
Bernmark, E., Forsman, M., & Wiktorin, C. (2010) · Applied Ergonomics · doi:10.1016/j.apergo.2010.07.006 · Cited by 11
Association between fecal incontinence and objectively measured physical activity in U.S. adults
Loprinzi, P. D., & Rao, S. (2014) · North American Journal of Medical Sciences · doi:10.4103/1947-2714.145473 · Cited by 11
Vanhelst, J., Hardy, L. L., Gottrand, F., & Béghin, L. (2012) · Archives de Pédiatrie · doi:10.1016/j.arcped.2012.08.020 · Cited by 11
Vanhelst, J., Fardy, P. S., Mikulovic, J., Bui-Xuân, G., & Béghin, L. (2013) · Perceptual and Motor Skills · doi:10.2466/03.06.pms.116.1.123-131 · Cited by 11
Exploring factors related to physical activity in cervical dystonia
Zetterberg, L., Urell, C., & Anens, E. (2015) · BMC Neurology · doi:10.1186/s12883-015-0499-6 · Cited by 11
Inertial sensors as measurement tools of elbow range of motion in gerontology
Sacco, G., Turpin, J.-M., Marteu, A., Sakarovitch, C., Teboul, B., Boscher, L., Brocker, P., Robert, P. H., & Guérin, O. (2015) · Clinical Interventions in Aging · doi:10.2147/cia.s70452 · Cited by 10
Dudley, P., & Bassett, D. R. (2012) · Journal of Obesity & Weight loss Therapy · doi:10.4172/2165-7904.1000146 · Cited by 10
Self-citationForseth, B. M., Carlson, J., Willis, E. A., Helsel, B. C., & Ptomey, L. T. (2021) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2021.104126 · Cited by 10
Medina, C., Monge, A., Denova‐Gutiérrez, E., López‐Ridaura, R., Barquera, S., Romieu, I., & Lajous, M. (2022) · Salud Pública de México · doi:10.21149/12889 · Cited by 10
Horner, F. E., Rayson, M. P., & Bilzon, J. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.39 · Cited by 10
Rosenbaum, D. (2011) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-011-1392-0 · Cited by 12
Do Running and Strength Exercises Reduce Daily Muscle Inactivity Time?
Finni, T. J., Uusi-Vähälä, M., Pesola, A. J., & Taipale, R. S. (2016) · AIMS Public Health · doi:10.3934/publichealth.2016.4.702 · Cited by 11
Cuthill, J. A., Fitzpatrick, K., & Glen, J. (2008) · Anaesthesia · doi:10.1111/j.1365-2044.2007.05352.x · Cited by 10
UNIAXIAL ACCELEROMETER FOR ASSESSING PHYSICAL ACTIVITY IN 5- TO 6-YEAR-OLD CHILDREN
Tanaka, C., Tanaka, S., Kawahara, J., & Midorikawa, T. (2007) · 体力科學 · doi:10.7600/jspfsm.56.489 · Cited by 10
Estimation of Displacement for Internet of Things Applications with Kalman Filter
Ferrero, R., Gandino, F., & Hemmatpour, M. (2019) · Electronics · doi:10.3390/electronics8090985 · Cited by 10
A Review of Accelerometer-Based Physical Activity Measurement
Meng, Y., & Kim, H. (2011) · Lecture notes in electrical engineering · doi:10.1007/978-94-007-2911-7_20 · Cited by 10
Exercise energy expenditure estimation based on acceleration data using the linear mixed model
Haapalainen, E., Laurinen, P., Siirtola, P., Röning, J., Kinnunen, H. O., & Jurvelin, H. (2008) · IEEE International Conference on Information Reuse and Integration (IRI) · doi:10.1109/iri.2008.4583018 · Cited by 10
A scoping review of use of wearable devices to evaluate outcomes in survivors of critical illness
Gluck, S., Chapple, L. S., Chapman, M. J., Iwashyna, T. J., & Deane, A. M. (2017) · Critical Care and Resuscitation · doi:10.1016/s1441-2772(23)00917-1 · Cited by 10
Differences in Daily Physical Activity by Alzheimer’s Risk Markers Among Older Adults
Marino, F., Deal, J. A., Dougherty, R. J., Bilgel, M., Tian, Q., An, Y., Simonsick, E. M., Resnick, S. M., Ferrucci, L., Spira, A. P., et al. (2024) · The Journals of Gerontology Series A · doi:10.1093/gerona/glae119 · Cited by 9
Raw Photoplethysmography as an Enhancement for Research-Grade Wearable Activity Monitors
Hibbing, P. R., & Khan, M. M. (2024) · JMIR mhealth and uhealth · doi:10.2196/57158 · Cited by 10
Santos‐Báez, L. S., Díaz‐Rizzolo, D. A., Borhan, R., Popp, C. J., Sordi‐Guth, A., DeBonis, D., Manoogian, E. N. C., Panda, S., Cheng, B., & Laferrère, B. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16160 · Cited by 9
Hamm, N. C., Kehler, D. S., Hay, J. L., Stammers, A. N., Strachan, S. M., B̀ouchard, D. R., & Duhamel, T. A. (2019) · Health Services Research and Managerial Epidemiology · doi:10.1177/2333392819884183 · Cited by 9
The Intrinsic Properties of ActiGraph Counts and Alternatives
Brønd, J. C., Møller, N. C., & Grøntved, A. (2024) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2023-0049 · Cited by 9
Dellava, J. E., & Hoffman, D. J. (2009) · British Journal Of Nutrition · doi:10.1017/s0007114508143537 · Cited by 9
Quantifying competitive swim training using accelerometer-based activity monitors
Wright, B. V., & Stager, J. M. (2013) · Sports Engineering · doi:10.1007/s12283-013-0123-1 · Cited by 9
Leung, W. C. W., Schuna, J. M., & Yun, J. (2020) · Journal of Intellectual Disability Research · doi:10.1111/jir.12792 · Cited by 9
Role of physical activity in the management and assessment of rheumatoid arthritis patients
Hernández-Hernández, M. V., & Díaz‐González, F. (2017) · Reumatología Clínica (English Edition) · doi:10.1016/j.reumae.2016.04.014 · Cited by 9
Can accelerometry be used to discriminate levels of activity?
Hendrick, P. A., Bell, M. L., Bagge, P. J., & Milosavljevic, S. (2009) · Ergonomics · doi:10.1080/00140130902846464 · Cited by 9
Haapalainen, E., Laurinen, P., Röning, J., & Kinnunen, H. O. (2008) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2008.131 · Cited by 9
Contribution of non-locomotive activity to habitual physical activity in Japanese workers
Tanaka, C., & Tanaka, S. (2012) · 体力科學 · doi:10.7600/jspfsm.61.435 · Cited by 9
Estimate activity for M-health using one three-axis accelerometer
Akahori, A., Kishimoto, Y., & Oguri, K. (2006) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmdbs.2006.360114 · Cited by 9
Generalized activity recognition using accelerometer in wearable devices for IoT applications
Safadi, E. A., Mohammad, F., Iyer, D., Smiley, B. J., & Jain, N. K. (2016) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2016.7738020 · Cited by 9
TAMURA, T. (2017) · Springer eBooks · doi:10.1007/978-3-319-69362-0_8 · Cited by 9
Physical Activity Questionnaire Development and Testing among Elderly Community-Dwelling Thais
Visuthipanich, V., Sirapo‐ngam, Y., Malathum, P., Kijboonchoo, K., Vorapongsathorn, T., & Winters‐Stone, K. M. (2009) · Pacific Rim International Journal of Nursing Research · Cited by 9
Design of Posture and Activity Detector (PAD)
Bliley, K. E., Schwab, D., Zahn, S. K., Rowley, K. L., Kane, P. H., Levine, J. A., Daniel, E. S., & Gilbert, B. K. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352876 · Cited by 9
Finet, M., Bellicha, A., Sage, É., Glorion, M., Kennel, T., Labro, M., Trillat, B., Fischler, M., Vallée, A., Guen, M. L., et al. (2023) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2022.111048 · Cited by 8
Measuring change in adolescent physical activity: Responsiveness of a single item
O’Halloran, P., Sullivan, C., Staley, K., Nicholson, M., Randle, E., Bauman, A. E., Donaldson, A., McNeil, N., Stukas, A. A., Wright, A., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268459 · Cited by 8
Buller, M. J., Welles, A. P., Jenkins, O. C., & Hoyt, R. W. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.853101 · Cited by 8
Huỳnh, C., Guilé, J.-M., Breton, J., Desrosiers, L., Cohen, D., & Godbout, R. (2010) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh.2010.22.4.547 · Cited by 8
Artificial Eye Vision Using Wireless Sensor Networks
Elsaid, S. A., & Hassanien, A. E. (2013) · CRC Press eBooks · doi:10.1201/b15425-31 · Cited by 8
Classification of cow’s behaviors based on 3-DoF accelerations from cow’s movements
Khanh, P. C. P., Nguyen, K. T., Nguyen, D.-C., Tran, D.-N., Hoang, T., Thăng, N. V., & Duc-Tan, T. (2019) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v9i3.pp1656-1662 · Cited by 8
Impact of Disease Activity on Physical Activity in Patients With Psoriatic Arthritis
Hernández-Hernández, V., Sánchez‐Pérez, H., Luna-Gomez, C., Ferraz‐Amaro, I., & Díaz‐González, F. (2020) · Arthritis Care & Research · doi:10.1002/acr.24422 · Cited by 9
Comparison of activPAL and Actiwatch for Estimations of Time in Bed in Free-Living Adults
Hidde, M. C., Lyden, K. A., Broussard, J. L., Henry, K. L., Sharp, J. L., Thomas, E. A., Rynders, C. A., & Leach, H. J. (2022) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2021-0047 · Cited by 8
Lee, M., Kim, J., Jee, S. H., & Yoo, S. K. (2010) · Lecture notes in electrical engineering · doi:10.1007/978-90-481-9419-3_44 · Cited by 8
An indoor locationtracking system for smart parking
Lan, K.-C., & Shih, W.-Y. (2013) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2013.855933 · Cited by 8
Pedestrian navigation system with fall detection and energy expenditure calculation
Park, C., Suh, J., Cha, E., & Bae, H.-D. (2011) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/imtc.2011.5944065 · Cited by 8
Cai, V. A. D., Ibanez, A., Granata, C., Nguyen, V. T., & Nguyen, M. T. (2016) · Meccanica · doi:10.1007/s11012-016-0575-z · Cited by 8
Clevenger, K. A., Moore, R. W., Suton, D., Montoye, A. H. K., Trost, S. G., & Pfeiffer, K. A. (2018) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2017.1419956 · Cited by 8
Relationship between Tactics and Energy Expenditure According to Level of Experience in Badminton
Dieu, O., Vanhelst, J., Bui-Xuân, G., Blondeau, T., Fardy, P. S., & Mikulovic, J. (2014) · Perceptual and Motor Skills · doi:10.2466/29.pms.119c21z3 · Cited by 8
Accelerometry for Evaluation of Gait Pattern in Healthy Soccer Athletes
Tsivgoulis, S., Papagelopoulos, P., Efstathopoulos, N. E., Papadakis, N. C., Kampanis, N., Christakis, D. G., & Katonis, P. (2009) · Journal of International Medical Research · doi:10.1177/147323000903700604 · Cited by 8
Messung körperlicher Aktivität bei älteren Erwachsenen
Trampisch, U. S., Platen, P., Moschny, A., Wilm, S., Thiem, U., & Hinrichs, T. (2012) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-011-0264-4 · Cited by 8
Studies of physical activity in the Swedish population
Olsson, S. J. G. (2016) · Diva portal (Dalarna University Library) · Cited by 8
González-Olguín, A., Rodríguez, D. R., Córdoba, F. H., Rebolledo, L. M., Taramasco, C., & Cruz, D. R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912890 · Cited by 8
Loprinzi, P. D., & Joyner, C. N. (2017) · American Journal of Audiology · doi:10.1044/2017_aja-16-0057 · Cited by 7
Chen, H., & Sun, H. (2017) · Games for Health Journal · doi:10.1089/g4h.2017.0027 · Cited by 7
Muñóz, A. M., Gómez-Cantarino, S., de Dios-Aguado, M. D. L. M., Abellán, M. V., López, B. G., Molina-Gallego, B., Pascual, J. L. G., & Arias-Palencia, N. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-029487 · Cited by 8
The Applicability of Thigh-Worn vs. Hip-Worn ActiGraph Accelerometers During Walking and Running
Pedersen, K. K., Skovgaard, E. L., Larsen, R. G., Stengaard, M., Sørensen, S., & Overgaard, K. (2019) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2018-0043 · Cited by 7
Moldovan, I., Bragg, A., Nidhiry, A. S., Cruz, B. A. D. L., & Mitchell, S. E. (2022) · Interactive Journal of Medical Research · doi:10.2196/34433 · Cited by 7
Energy Expenditure Estimation for Forestry Workers Moving on Flat and Inclined Ground
Okuda, M., Kawamoto, Y., Tado, H., Fujita, Y., & Inomata, Y. (2023) · Forests · doi:10.3390/f14051038 · Cited by 8
Concurrent healthy behavior adoption and diabetic retinopathy in the United States
Loprinzi, P. D. (2015) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2015.07.002 · Cited by 7
Review of Methods to Map People’s Daily Activity – Application for Smart Homes
Gauthier, S., & Shipworth, D. (2013) · Smart innovation, systems and technologies · doi:10.1007/978-3-642-36645-1_38 · Cited by 7
Jimmy, G., Dössegger, A., Seiler, R., & Mäder, U. (2012) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2012.639600 · Cited by 7
Duration, frequency, and types of children's activities: Potential of a classification procedure
Ruch, N., Melzer, K., & Mäder, U. (2013) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2013.10.002 · Cited by 7
MYERS, J. N., Dupain, M., Vu, A. A., Jaffe, A., Smith, K., Fonda, H., & Dalman, R. L. (2013) · Journal of Aging and Physical Activity · doi:10.1123/japa.2012-0133 · Cited by 7
Wyrick, S. L., Parker, D., Grabowski, D., Feuling, H., & Ng, A. V. (2008) · Journal of Applied Gerontology · doi:10.1177/0733464808315288 · Cited by 7
Metadata
- Authors
- CHEN, K. Y., & BASSETT, D. R.
- Affiliations
- Vanderbilt University (US)
- University of Tennessee at Knoxville (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2005-11
- Volume
- 37
- Issue
- 11
- Pages
- S490-S500
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2033727719
- Cited by
- 996
- References
- 61
- Citations by year
- 2026: 15 · 2025: 12 · 2024: 38 · 2023: 20 · 2022: 40 · 2021: 37 · 2020: 51 · 2019: 48 · 2018: 42 · 2017: 65 · 2016: 83 · 2015: 57 · 2014: 84 · 2013: 83 · 2012: 82
- FWCI
- 14.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (DK 02973, DK 069465, R01DK069465, DK26557, K25DK002973)
- National Center for Research Resources (RR00095)
- 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 › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- accelerometry, wearable activity trackers, energy expenditure estimation, multi-sensor array, nonlinear prediction model, physical activity measurement, indirect calorimetry
- MeSH terms
- Acceleration, Diffusion of Innovation, Equipment Design, Humans, Locomotion, United States, Ergometry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review