Related references
Note: Only part of the references are listed.Wave 1 results of the INTerventions, Research, and Action in Cities Team (INTERACT) cohort study: Examining spatio-temporal measures for urban environments and health
Daniel Fuller et al.
HEALTH & PLACE (2023)
Why machine learning (ML) has failed physical activity research and how we can improve
Daniel Fuller et al.
BMJ OPEN SPORT & EXERCISE MEDICINE (2022)
Feature selection for unsupervised machine learning of accelerometer data physical activity clusters-A systematic review
Petra J. Jones et al.
GAIT & POSTURE (2021)
The universal visitation law of human mobility
Markus Schlaepfer et al.
NATURE (2021)
Individualized Relative-Intensity Physical Activity Accelerometer Cut Points
Juned Siddique et al.
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE (2020)
A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults
Ian Janssen et al.
APPLIED PHYSIOLOGY NUTRITION AND METABOLISM (2020)
Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
Christopher J. L. Murray et al.
LANCET (2020)
Evidence on physical activity and osteoporosis prevention for people aged 65+years: a systematic review to inform the WHO guidelines on physical activity and sedentary behaviour
Marina B. Pinheiro et al.
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY (2020)
Application of Raw Accelerometer Data and Machine-Learning Techniques to Characterize Human Movement Behavior: A Systematic Scoping Review
Anantha Narayanan et al.
JOURNAL OF PHYSICAL ACTIVITY & HEALTH (2020)
Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Vahid Farrahi et al.
GAIT & POSTURE (2019)
Individualized Accelerometer Activity Cut-Points for the Measurement of Relative Physical Activity Intensity Levels
Erreka Gil-Rey et al.
RESEARCH QUARTERLY FOR EXERCISE AND SPORT (2019)
Re-examination of accelerometer data processing and calibration for the assessment of physical activity intensity
Daniel Arvidsson et al.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS (2019)
INTERACT: A comprehensive approach to assess urban form interventions through natural experiments
Yan Kestens et al.
BMC PUBLIC HEALTH (2019)
Calibration and validation of accelerometry to measure physical activity in adult clinical groups: A systematic review
Mayara S. Bianchim et al.
PREVENTIVE MEDICINE REPORTS (2019)
Assessment of human energy exchange: historical overview
S. B. Heymsfield et al.
EUROPEAN JOURNAL OF CLINICAL NUTRITION (2017)
Large-scale physical activity data reveal worldwide activity inequality
Tim Althoff et al.
NATURE (2017)
Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations
Jairo H. Migueles et al.
SPORTS MEDICINE (2017)
Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review
Juliane Heydenreich et al.
SPORTS MEDICINE-OPEN (2017)
Prediction of activity-related energy expenditure using accelerometer-derived physical activity under free-living conditions: a systematic review
S. Jeran et al.
INTERNATIONAL JOURNAL OF OBESITY (2016)
Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013
Hmwe H. Kyu et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013
Hmwe H. Kyu et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches
Kishan Bakrania et al.
PLOS ONE (2016)
A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer
Henri Vaha-Ypya et al.
CLINICAL PHYSIOLOGY AND FUNCTIONAL IMAGING (2015)
Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges
I-Min Lee et al.
BRITISH JOURNAL OF SPORTS MEDICINE (2014)
Evolution of accelerometer methods for physical activity research
Richard P. Troiano et al.
BRITISH JOURNAL OF SPORTS MEDICINE (2014)
Health Impact Modelling of Active Travel Visions for England and Wales Using an Integrated Transport and Health Impact Modelling Tool (ITHIM)
James Woodcock et al.
PLOS ONE (2013)
Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy
I-Min Lee et al.
LANCET (2012)
Computational Methods for Estimating Energy Expenditure in Human Physical Activities
Shaopeng Liu et al.
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE (2012)
Validation and comparison of ActiGraph activity monitors
Jeffer E. Sasaki et al.
JOURNAL OF SCIENCE AND MEDICINE IN SPORT (2011)
Physical activity in the United States measured by accelerometer
Richard P. Troiano et al.
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE (2008)