Accelerometry and physical activity questionnaires-a systematic review

S Skender, J Ose, J Chang-Claude, M Paskow… - BMC public health, 2016 - Springer
Background The aim of this study is to review accelerometer wear methods and correlations
between accelerometry and physical activity questionnaire data, depending on participant …

Evolution of accelerometer methods for physical activity research

RP Troiano, JJ McClain, RJ Brychta… - British journal of sports …, 2014 - bjsm.bmj.com
The technology and application of current accelerometer-based devices in physical activity
(PA) research allow the capture and storage or transmission of large volumes of raw …

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data

H Yuan, S Chan, AP Creagh, C Tong, A Acquah… - NPJ digital …, 2024 - nature.com
Accurate physical activity monitoring is essential to understand the impact of physical activity
on one's physical health and overall well-being. However, advances in human activity …

Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American Heart Association

SJ Strath, LA Kaminsky, BE Ainsworth, U Ekelund… - Circulation, 2013 - ahajournals.org
2260 Circulation November 12, 2013 week at moderate intensity or 150 minutes per week at
vigorous intensity or an equivalent combination of both; and (4) muscle-strengthening …

Age group comparability of raw accelerometer output from wrist-and hip-worn monitors.

M Hildebrand, VANH VT, BH Hansen… - Medicine and science …, 2014 - europepmc.org
Purpose The study aims were to compare raw triaxial accelerometer output from ActiGraph
GT3X+(AG) and GENEActiv (GA) placed on the hip and the wrist and to develop regression …

The current state of physical activity assessment tools

B Ainsworth, L Cahalin, M Buman, R Ross - Progress in cardiovascular …, 2015 - Elsevier
Physical activity (PA) is a behavior that involves bodily movements resulting in energy
expenditure. When assessing PA, the goal is to identify the frequency, duration, intensity …

Lifelogging: Personal big data

C Gurrin, AF Smeaton, AR Doherty - Foundations and Trends® …, 2014 - nowpublishers.com
We have recently observed a convergence of technologies to foster the emergence of
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …

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 …

Activity recognition using a single accelerometer placed at the wrist or ankle

A Mannini, SS Intille, M Rosenberger… - … and science in …, 2013 - pmc.ncbi.nlm.nih.gov
PURPOSE Large physical activity surveillance projects such as the UK Biobank and
NHANES are using wrist-worn accelerometer-based activity monitors that collect raw data …

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 …