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The present results are compared with those obtained by the use of standard accelerometers.
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Duke University computer engineers have made use of standard cell phone features – accelerometers, cameras and microphones – to turn the unique properties of a particular space into a distinct fingerprint.
The assessment of PA using a high standard accelerometer-based device is feasible in a large population-based study.
Arrays of translational sensors (as standard accelerometers) were also used by Spudich et al. (1995) and Spudich and Fletcher (2008).
The idea makes use of the accelerometers built into most modern smartphones.
The use of helmet accelerometers was a particular point of discussion.
However, the low-to-moderate correspondence between questionnaire-based and accelerometer-assessed physical activity measurements, along with the growing affordability of accelerometers, is increasingly leading to use of accelerometers to measure physical activity in large studies (27– 35).
Moreover, while previous studies have used self-report PA assessments, the use of accelerometers to measure PA will provide an accurate (and gold-standard) estimate of PA at multiple time points across the survivorship trajectory.
Furthermore, the use of accelerometers is to be regarded as another indirect method, not a "100%% golden standard" reference method of PA.
weighted acceleration values got through the use of sensors or accelerometers.
Leah Moore and John Reppion's Sway, here, impressed most, with its use of the accelerometer for story-shifting purposes.
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