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Article

Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8–12 Years

1
Centre for Sport, Exercise and Life Sciences, Coventry University, Coventry CV1 5FB, UK
2
School of Human Sciences, University of Derby, Derby DE22 1GB, UK
3
Department of Physical Education, College of Education, University of South Carolina, Columbia, SC 29208, USA
4
Department of Health and Human Performance, The Citadel, Charleston, SC 29409, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2776; https://doi.org/10.3390/s20102776
Received: 20 March 2020 / Revised: 27 April 2020 / Accepted: 12 May 2020 / Published: 13 May 2020
(This article belongs to the Special Issue Sensor Technology for Improving Human Movements and Postures)
(1) Background: This study sought to calibrate triaxial accelerometery, worn on both wrists, waist and both ankles, during children’s physical activity (PA), with particular attention to object control motor skills performed at a fast and slow cadence, and to cross-validate the accelerometer cut-points derived from the calibration using an independent dataset. (2) Methods: Twenty boys (10.1 ±1.5 years) undertook seven, five-minute bouts of activity lying supine, standing, running (4.5kmph−1) instep passing a football (fast and slow cadence), dribbling a football (fast and slow cadence), whilst wearing five GENEActiv accelerometers on their non-dominant and dominant wrists and ankles and waist. VO2 was assessed concurrently using indirect calorimetry. ROC curve analysis was used to generate cut-points representing sedentary, light and moderate PA. The cut-points were then cross-validated using independent data from 30 children (9.4 ± 1.4 years), who had undertaken similar activities whilst wearing accelerometers and being assessed for VO2. (3) Results: GENEActiv monitors were able to discriminate sedentary activity to an excellent level irrespective of wear location. For moderate PA, discrimination of activity was considered good for monitors placed on the dominant wrist, waist, non-dominant and dominant ankles but fair for the non-dominant wrist. Applying the cut-points to the cross-validation sample indicated that cut-points validated in the calibration were able to successfully discriminate sedentary behaviour and moderate PA to an excellent standard and light PA to a fair standard. (4) Conclusions: Cut-points derived from this calibration demonstrate an excellent ability to discriminate children’s sedentary behaviour and moderate intensity PA comprising motor skill activity. View Full-Text
Keywords: motor competence; motor development; indirect calorimetry; energy expenditure; wearables; sensors motor competence; motor development; indirect calorimetry; energy expenditure; wearables; sensors
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MDPI and ACS Style

Duncan, M.J.; Dobell, A.; Noon, M.; Clark, C.C.T.; Roscoe, C.M.P.; Faghy, M.A.; Stodden, D.; Sacko, R.; Eyre, E.L.J. Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8–12 Years. Sensors 2020, 20, 2776. https://doi.org/10.3390/s20102776

AMA Style

Duncan MJ, Dobell A, Noon M, Clark CCT, Roscoe CMP, Faghy MA, Stodden D, Sacko R, Eyre ELJ. Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8–12 Years. Sensors. 2020; 20(10):2776. https://doi.org/10.3390/s20102776

Chicago/Turabian Style

Duncan, Michael J., Alexandra Dobell, Mark Noon, Cain C.T. Clark, Clare M.P. Roscoe, Mark A. Faghy, David Stodden, Ryan Sacko, and Emma L.J. Eyre. 2020. "Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8–12 Years" Sensors 20, no. 10: 2776. https://doi.org/10.3390/s20102776

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