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Applied Ergonomics|June 10, 2021
Cluster size prediction for military clothing using 3D body scan dataStephven Kolose, Tom Stewart, Patria Hume, et al.Applied Ergonomics|May 1, 2021
Prediction of military combat clothing size using decision trees and 3D body scan dataStephven Kolose, Tom Stewart, Patria Hume, et al.Health & Place|May 15, 2016
The impact of children's exposure to greenspace on physical activity, cognitive development, emotional wellbeing, and ability to appraise riskJonathan S Ward, J Scott Duncan, Aaron Jarden, et al.Journal of Physical Activity & Health|February 9, 2020
Application of Raw Accelerometer Data and Machine-Learning Techniques to Characterize Human Movement Behavior: A Systematic Scoping ReviewAnantha Narayanan, Farzanah Desai, Tom Stewart, et al.Journal of Sports Sciences|January 22, 2021
Can an inertial measurement unit (IMU) in combination with machine learning measure fast bowling speed and perceived intensity in cricket?Joseph McGrath, Jonathon Neville, Tom Stewart, et al.European Journal of Applied Physiology|June 20, 2024
Predicting daily recovery during long-term endurance training using machine learning analysisJeffrey A Rothschild, Tom Stewart, Andrew E Kilding, et al.Sports Medicine (Auckland, N.Z.)|July 13, 2022
Factors Influencing Substrate Oxidation During Submaximal Cycling: A Modelling AnalysisJeffrey A Rothschild, Andrew E Kilding, Tom Stewart, et al.The International Journal of Behavioral Nutrition and Physical Activity|April 18, 2015
A novel assessment of adolescent mobility: a pilot studyTom Stewart, Scott Duncan, Basile Chaix, et al.Journal of Physical Activity & Health|August 19, 2015
Active Transport, Physical Activity, and Distance Between Home and School in Children and AdolescentsScott Duncan, Kate White, Suzanne Mavoa, et al.Medicine and Science in Sports and Exercise|July 27, 2018
A Dual-Accelerometer System for Classifying Physical Activity in Children and AdultsTom Stewart, Anantha Narayanan, Leila Hedayatrad, et al.Pageof 6