A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study

KP Dowd, R Szeklicki, MA Minetto, MH Murphy… - International Journal of …, 2018 - Springer
The links between increased participation in Physical Activity (PA) and improvements in
health are well established. As this body of evidence has grown, so too has the search for …

Wearable activity trackers–advanced technology or advanced marketing?

RJ Shei, IG Holder, AS Oumsang, BA Paris… - European Journal of …, 2022 - Springer
Wearable devices represent one of the most popular trends in health and fitness. Rapid
advances in wearable technology present a dizzying display of possible functions: from …

[HTML][HTML] Best practices for using physical activity monitors in population-based research

CE Matthews, M Hagströmer, DM Pober… - Medicine and science …, 2012 - ncbi.nlm.nih.gov
The use of physical activity monitors in population-based research has increased
dramatically in the past decade. In this report we review the major purpose for using physical …

Optimal placement of accelerometers for the detection of everyday activities

I Cleland, B Kikhia, C Nugent, A Boytsov, J Hallberg… - Sensors, 2013 - mdpi.com
This article describes an investigation to determine the optimal placement of accelerometers
for the purpose of detecting a range of everyday activities. The paper investigates the effect …

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

M Willetts, S Hollowell, L Aslett, C Holmes, A Doherty - Scientific reports, 2018 - nature.com
Current public health guidelines on physical activity and sleep duration are limited by a
reliance on subjective self-reported evidence. Using data from simple wrist-worn activity …

Assessment of physical activity and energy expenditure: an overview of objective measures

AP Hills, N Mokhtar, NM Byrne - Frontiers in nutrition, 2014 - frontiersin.org
The ability to assess energy expenditure (EE) and estimate physical activity (PA) in free-
living individuals is extremely important in the global context of non-communicable diseases …

A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers

K Ellis, J Kerr, S Godbole, G Lanckriet… - Physiological …, 2014 - iopscience.iop.org
Wrist accelerometers are being used in population level surveillance of physical activity (PA)
but more research is needed to evaluate their validity for correctly classifying types of PA …

How consumer physical activity monitors could transform human physiology research

SP Wright, TSH Brown, SR Collier… - American Journal of …, 2017 - journals.physiology.org
A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic
disease and adverse health outcomes. Thus, there is enormous interest in measuring …

Assessing physical activity using wearable monitors: measures of physical activity

NF Butte, U Ekelund… - Medicine and science …, 2012 - cris.maastrichtuniversity.nl
BACKGROUND: Physical activity may be defined broadly as" all bodily actions produced by
the contraction of skeletal muscle that increase energy expenditure above basal level." …

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

K Ohkawara, Y Oshima, Y Hikihara… - British Journal of …, 2011 - cambridge.org
We have recently developed a simple algorithm for the classification of household and
locomotive activities using the ratio of unfiltered to filtered synthetic acceleration (gravity …