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Measurement in Physical Education and Exercise Science Volume 24, 2020 - Issue 2
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Articles

Physical Activity Classification in Youth Using Raw Accelerometer Data from the Hip

Matthew N. AhmadiInstitute of Health and Biomedical Innovation at QLD Centre for Children’s Health Research, School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3115-338XView further author information
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Karin A. PfeifferDepartment of Kinesiology, Michigan State University, East Lansing, Michigan, USAView further author information
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Stewart G. TrostInstitute of Health and Biomedical Innovation at QLD Centre for Children’s Health Research, School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, AustraliaORCID Iconhttps://orcid.org/0000-0001-9587-3944View further author information
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Pages 129-136 | Published online: 23 Jan 2020

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John O. Osborne, Geoffrey M. Minett, Ian B. Stewart, Stewart Trost, Christopher Drovandi, Joseph T. Costello, Toby G. Pavey & David N. Borg. (2023) Evidence that heat acclimation training may alter sleep and incidental activity. European Journal of Sport Science 23:8, pages 1731-1740.
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Hannah J. Coyle-Asbil, David W.L. Ma & Lori Ann Vallis. (2022) Comparison of Different Signal Processing Methodologies and Their Impact on the Range of Acceleration Amplitudes Experienced by Preschool-Aged Children. Measurement in Physical Education and Exercise Science 26:3, pages 207-220.
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Nicholas D. Myers, André G. Bateman, Seungmin Lee & Stephen Silverman. (2021) Measurement in Physical Education and Exercise Science (MPEES): A Summary of MPEES-Related Activities in 2020. Measurement in Physical Education and Exercise Science 25:3, pages 191-201.
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Articles from other publishers (13)

Sarah B. Welch, Kyle Honegger, Megan O’Brien, Selin Capan & Soyang Kwon. (2023) Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads. BMC Pediatrics 23:1.
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Sunghyun Cho, Eleonora M. Aiello, Basak Ozaslan, Michael C. Riddell, Peter Calhoun, Robin L. Gal & Francis J. DoyleIIIIII. (2023) Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes. Journal of Diabetes Science and Technology, pages 193229682311538.
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Yan Jiang & Chuncai Bao. (2022) Human-centered artificial intelligence-based ice hockey sports classification system with web 4.0. Journal of Intelligent Systems 31:1, pages 1211-1228.
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Jian Li, Meiyue Li & Hao Lin. (2022) Analysis of developments and hotspots of international research on sports AI. Journal of Intelligent & Fuzzy Systems 43:4, pages 4227-4241.
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Matthew N. Ahmadi & Stewart G. Trost. (2022) Device-based measurement of physical activity in pre-schoolers: Comparison of machine learning and cut point methods. PLOS ONE 17:4, pages e0266970.
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Hans Horak, Klavs Jermakovs & Rain Eric Haamer. (2022) Modeling Physical Activity in Children by Combining Raw Hip-Worn Accelerometry, 2D Pose Estimation, and Direct Observation. IEEE Access 10, pages 39986-40000.
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Barbara Joschtel, Sjaan R. Gomersall, Sean Tweedy, Helen Petsky, Anne B. Chang & Stewart G. Trost. (2021) Fundamental movement skill proficiency and objectively measured physical activity in children with bronchiectasis: a cross-sectional study. BMC Pulmonary Medicine 21:1.
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Joana Chong, Petra Tjurin, Maisa Niemelä, Timo Jämsä & Vahid Farrahi. (2021) Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms. Gait & Posture 89, pages 45-53.
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Marzia Cescon, Divya Choudhary, Jordan E. Pinsker, Vikash Dadlani, Mei Mei Church, Yogish C. Kudva, Francis J. Doyle III & Eyal Dassau. (2021) Activity detection and classification from wristband accelerometer data collected on people with type 1 diabetes in free-living conditions. Computers in Biology and Medicine 135, pages 104633.
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Qiang Guo & Bo Li. (2021) Role of AI physical education based on application of functional sports training. Journal of Intelligent & Fuzzy Systems 40:2, pages 3337-3345.
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Mert Sevil, Mudassir Rashid, Zacharie Maloney, Iman Hajizadeh, Sediqeh Samadi, Mohammad Reza Askari, Nicole Hobbs, Rachel Brandt, Minsun Park, Laurie Quinn & Ali Cinar. (2020) Determining Physical Activity Characteristics From Wristband Data for Use in Automated Insulin Delivery Systems. IEEE Sensors Journal 20:21, pages 12859-12870.
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Matthew N. Ahmadi, Toby G. Pavey & Stewart G. Trost. (2020) Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children. Sensors 20:16, pages 4364.
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Matthew N. Ahmadi, Margaret E. O’Neil, Emmah Baque, Roslyn N. Boyd & Stewart G. Trost. (2020) Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models. Sensors 20:14, pages 3976.
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