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Alexander H.K. Montoye, Scott A. Conger, Joe R. Mitrzyk, Colby Beach, Alecia K. Fox, and Jeremy A. Steeves

evidence that accelerometer-based activity monitors, when worn on the wrist or arm, have the potential to classify many important RT constructs including exercise type and number of repetitions performed. Atlas Wearables (Austin, TX) recently developed the wrist-worn Wristband2, an activity monitor which

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Roel De Ridder, Julien Lebleu, Tine Willems, Cedric De Blaiser, Christine Detrembleur, and Philip Roosen

Wearable sensor devices have notable advantages, such as cost-effectiveness, easy to use, and real-time feedback. Wirelessness ensures full-body motion, which is required during movement in a challenging environment such as during sports. These technology systems allow clinicians to benefit from

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David R. Bassett, Patty S. Freedson, and Dinesh John

Wearable activity trackers, devices that measure physical activity under free-living conditions, are part of a rapidly growing trend in medicine. In 2016, Fitbit Inc. was reported to have a 79% market share in wearable activity trackers ( The NPD Group, 2016 ) and shipped 22.5 million units

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Risto Marttinen, Dillon Landi, Ray N. Fredrick III, and Stephen Silverman

( Papastergiou, 2009 ), to name a few. In this study, we focused on wearable digital technologies and, in particular, the use of accelerometers. Notably, the shift toward integrating wearable digital technologies in PE is part of a larger global trend regarding the quantification of health, educational outcomes

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Alexandra F. DeJong and Jay Hertel

Key Points ▸ Wearable sensors enable recognition of unique outdoor training and racing activities. ▸ Spatiotemporal outcomes recorded by sensors reflected speed training and racing. ▸ These individual running cases set up for larger scale in-field running gait assessments. Outdoor running

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Lyndel Hewitt, Anthony D. Okely, Rebecca M. Stanley, Marjika Batterham, and Dylan P. Cliff

validly determine infant position (prone on the floor and not prone) with over 95% accuracy. 6 The next step in enabling the GENEActiv to assess tummy time is to determine wear and nonwear time. Identifying wear and nonwear time is important to ensure that data obtained while the device is not worn by

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Samantha F. Ehrlich, Amanda J. Casteel, Scott E. Crouter, Paul R. Hibbing, Monique M. Hedderson, Susan D. Brown, Maren Galarce, Dawn P. Coe, David R. Bassett, and Assiamira Ferrara

). Epidemiologic studies of PA during pregnancy have largely relied on self-report via questionnaires ( Evenson et al., 2012 ) although they are prone to measurement error ( Matthews et al., 2012 ). Device-based measures of PA require the estimation of wear-time, or the amount of time the tracking device was worn

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Christopher C. Moore, Aston K. McCullough, Elroy J. Aguiar, Scott W. Ducharme, and Catrine Tudor-Locke

. Consumer preference for this trackable and human-scaled measurement is reflected by the fact that most contemporary wearable technologies (ie, devices) offer a step-counting feature. 2 The 2018 Physical Activity Guidelines Advisory Committee Scientific Report also recently advocated for the benefits of

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Henry Wear and Bob Heere

, Kolbe, & Trail, 2002 ; Katz & Heere, 2013 , 2015 ; Kunkel et al., 2016 ; Lock, Funk, Doyle, & McDonald, 2014 ). The key goal of new sport organizations is to create a strong cohesive group of dedicated consumers (i.e., fans) who are deeply engaged with the brand ( Wear, Heere, & Clopton, 2016

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Abigail M. Tyson, Stefan M. Duma, and Steven Rowson

between the age of 6 and 18. 10 Wearable head impact sensors have the potential to advance the knowledge of concussion biomechanics and aid the diagnostic process by alerting to a severe impact. Researchers have been using wearable head impact sensors to investigate the biomechanics of concussive and