Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. - Yonglei Zheng; Weng-Keen Wong; Xinze Guan; Stewart Trost (IAAI, 2013)

User Profile Ontology to Support Personalisation for E-Coaching Systems. - Puspa Pratiwi; Yue Xu 001; Yuefeng Li; Stewart G. Trost; Kelly M. Clanchy; Dian Tjondronegoro (CIKM Workshops, 2018)

Technologies to engage young children in physical activity: an online study of parenting practices. - Bernd Ploderer; Yaman Mazyed S. Alsahfi; Stewart G. Trost (OZCHI, 2018)

Physical Activity Recognition Using Posterior-Adapted Class-Based Fusion of Multiaccelerometer Data. - Alok Kumar Chowdhury; Dian Tjondronegoro; Vinod Chandran; Stewart Trost (IEEE J. Biomed. Health Informatics, 2018)

An Interactive Visualization Tool for Sensor-based Physical Activity Data Analysis. - Chuxuan Tong; Jinglan Zhang; Alok Kumar Chowdhury; Stewart G. Trost (ACSW, 2019)

An Interactive Method for Visualising Physical Activity in Parks. - Benjamin Rowe; Jinglan Zhang; Tracy Washington; Debra Cushing; Stewart Trost (IV (2), 2019)

Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data. - Alok Kumar Chowdhury; Dian Tjondronegoro; Vinod Chandran; Jinglan Zhang; Stewart G. Trost (Sensors, 2019)

Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models. - Matthew N. Ahmadi; Margaret E. O'Neil; Emmah Baque; Roslyn N. Boyd; Stewart G. Trost (Sensors, 2020)

Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children. - Matthew N. Ahmadi; Toby G. Pavey; Stewart G. Trost (Sensors, 2020)

Evaluation of Wrist Accelerometer Cut-Points for Classifying Physical Activity Intensity in Youth. - Stewart G. Trost; Denise S. K. Brookes; Matthew N. Ahmadi (Frontiers Digit. Health, 2022)

Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. - Corneel Vandelanotte; Stewart Trost; Danya Hodgetts; Tasadduq Imam; Md. Mamunur Rashid 001; Quyen G. To; Carol Maher (J. Biomed. Informatics, 2023)