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Bronwyn K. Clark, Nyssa T. Hadgraft, Takemi Sugiyama and Elisabeth A. Winkler

monitor, similarly experienced lower accuracy in location classification when participants transitioned between locations versus when they remained in the same location continuously ( Magistro et al., 2018 ). These findings suggest it may be possible to use Bluetooth to derive valid measures of office

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Simona Bar-Haim, Ronit Aviram, Anat Shkedy Rabani, Akram Amro, Ibtisam Nammourah, Muhammed Al-Jarrah, Yoav Raanan, Jack A. Loeppky and Netta Harries

activity but not motor function or gait speed. Keawuton et al ( 13 ) reviewed studies that presented the baseline relationship between motor capacity and HPA in 10 carefully screened studies of children with CP at Gross Motor Function Classification System (GMFCS) levels I to IV, mean age 8.4 years (range

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Stephen Harvey and Brendon Hyndman

investigate the reasons PE professionals use Twitter. Three-Level Classification of Pedagogies of Technology In a recent treatise, Casey et al. ( 2017 ) outlined the concept of Pedagogies of Technology in health and PE based on Armour’s ( 2011 ) three-level conceptual classification of pedagogy: (a)  teachers

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Valeria Rosso, Laura Gastaldi, Walter Rapp, Stefan Lindinger, Yves Vanlandewijck, Sami Äyrämö and Vesa Linnamo

used for the analysis was identified as the peak in the mean silhouette. The current classes of the athletes were used as external criterion to compare clustering results to a priori information ( Xu & Wunsch, 2008 ). However, it should be remembered that the current classification is not evidence

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Thom T.J. Veeger, Annemarie M.H. de Witte, Monique A.M. Berger, Rienk M.A. van der Slikke, Dirkjan (H.E.J.) Veeger and Marco J.M. Hoozemans

classification levels. A total of 20 athletes had a classification equal to or below 2.5 (low classification group) and 40 athletes had a classification equal to or higher than 3.0 (high classification group), see also Table  1 . Before testing, the participants and/or their parents signed an informed consent

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Javier Yanci, Daniel Castillo, Aitor Iturricastillo, Tomás Urbán and Raúl Reina

with CP. However, the study by Yanci 8 only analyzes the goals scored by footballers with CP in official matches. Thus, more in-depth knowledge of CP football competitions would be of great interest to coaches and would help them to make decisions, including classification, based on objective data

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Carina Bauer, Christine Graf, Anna M. Platschek, Heiko K. Strüder and Nina Ferrari

pregnancy are different in various weight classifications. This, however, would be important and of special interest to professionals, such as midwives and gynecologists. These professionals could use this information to give more specific and individual advice regarding physical activity to their patients

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Sarah P. Shultz, Jinsup Song, Andrew P. Kraszewski, Jocelyn F. Hafer, Smita Rao, Sherry Backus, Rajshree M. Hillstrom and Howard J. Hillstrom

function can accurately discriminate between the 3 simplest foot type classifications: cavus, rectus, and planus. It is hypothesized that the most efficient model for classifying foot types will include variables representing foot structure, flexibility, and function. By identifying the contributing

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Anantha Narayanan, Farzanah Desai, Tom Stewart, Scott Duncan and Lisa Mackay

were searched for in abstracts, titles, and keywords: [(“physical activity” OR “posture” OR “activity classification” OR “sedentary” OR “sleep” OR “energy expenditure”) AND (“machine learning” OR “pattern recognition” OR “neural network” OR “classifier”) AND (“acceleromet*” OR “wearable” OR “IMU

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Simon J. MacLeod, Chris Hagan, Mikel Egaña, Jonny Davis and David Drake

relationship between loads and collision performance to be examined. Accordingly, the principal aim of this study was to determine if microtechnology-derived collision loads when cross-referenced with video analysis can discriminate between collision performances identified by 3 classification types (dominant