Fall Recovery Subactivity Recognition With RGB-D Cameras. - Kalana Ishara Withanage; Ivan Lee 001; Russell S. A. Brinkworth; Shylie Mackintosh; Dominic Thewlis (IEEE Trans. Ind. Informatics, 2016)

Simulating Time-Series Data for Improved Deep Neural Network Performance. - Jordan Yeomans; Simon Thwaites; William S. P. Robertson; David Booth; Brian Wai-Him Ng; Dominic Thewlis (IEEE Access, 2019)

EMG-Informed Neuromusculoskeletal Models Accurately Predict Knee Loading Measured Using Instrumented Implants. - Kieran J. Bennett; Claudio Pizzolato; Saulo Martelli; Jasvir S. Bahl; Arjun Sivakumar; Gerald J. Atkins; Lucian Bogdan Solomon; Dominic Thewlis (IEEE Trans. Biomed. Eng., 2022)

The role of muscle forces and gait cycle discretization when assessing acetabular cup primary stability: A finite element study. - Khosro Fallahnezhad; Dermot O'Rourke; Jasvir S. Bahl; Dominic Thewlis; Mark Taylor 002 (Comput. Methods Programs Biomed., 2023)

Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data. - Kayne A. Duncanson; Simon Thwaites; David Booth; Gary Hanly; William S. P. Robertson; Ehsan Abbasnejad; Dominic Thewlis (Sensors, 2023)

The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations. - Joel Fuller; Tim Leo Atherton Doyle; Eoin William Doyle; John Bradley Arnold; Jonathan David Buckley; Jodie A. Wills; Dominic Thewlis; Clint R. Bellenger (Sensors, 2024)