Ben Maylor
Post doctoral researcher
Ben is a researcher at Oxford Population Health and the Big Data Institute at the University of Oxford, working with Aiden Doherty.
His research focuses on generating meaningful information from wearable devices such as wrist and thigh accelerometers to better understand the role of 24 hour movement behaviours the prevention and management of chronic diseases.
Prior to joining Oxford in 2024, Ben was a postdoctoral researcher at the University of Leicester for six years where I worked on developing methods for describing physical behaviours using data from wearable accelerometers and assessing the effectiveness of a large multicomponent intervention in reducing daily sitting in office workers.
Recent publications
Substituting sitting with standing and walking in free-living conditions improves daily glucose concentrations in South Asian adults living with overweight/obesity.
Journal article
Dey KC. et al, (2026), Eur J Appl Physiol, 126, 579 - 589
Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Physical Activity, Sedentary Behavior, Sleep, and Heart Rate in Adults (OxWEARS): Protocol for a Cross-Sectional Study.
Journal article
Maylor BD. et al, (2025), JMIR Res Protoc, 14
Reducing annotation burden in physical activity research using vision language models.
Journal article
Schönfeldt A. et al, (2025), Sci Rep, 15
Comparing two wrist-worn accelerometers (Axivity AX3 and Matrix 003) for measuring movement behaviours in British and Chinese older adults
Journal article
Brocklebank LAURA., (2025), Journal for the Measurement of Physical Behaviour
Quantifying the relative intensity of free-living physical activity: differences across age, association with mortality and clinical interpretation-an observational study.
Journal article
Rowlands AV. et al, (2025), Br J Sports Med, 59, 830 - 838