Evaluation of wearable IMU performance for orientation estimation and motion tracking. - Kristen H. E. Beange; Adrian D. C. Chan; Ryan B. Graham (MeMeA, 2018)

Machine Learning and Deep Neural Network Architectures for 3D Motion Capture Datasets. - Alistair Boyle; Gwyneth B. Ross; Ryan B. Graham (EMBC, 2020)

A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors. - Victor C. H. Chan; Shawn M. Beaudette; Kenneth B. Smale; Kristen H. E. Beange; Ryan B. Graham (Sensors, 2020)

Validation of an IMU Suit for Military-Based Tasks. - Matthew P. Mavor; Gwyneth B. Ross; Allison L. Clouthier; Thomas Karakolis; Ryan B. Graham (Sensors, 2020)

Development and Validation of a Deep Learning Algorithm and Open-Source Platform for the Automatic Labelling of Motion Capture Markers. - Allison L. Clouthier; Gwyneth B. Ross; Matthew P. Mavor; Isabel Coll; Alistair Boyle; Ryan B. Graham (IEEE Access, 2021)

Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait. - Christopher A. Bailey; Thomas K. Uchida; Julie Nantel; Ryan B. Graham (Sensors, 2021)

Sources of error during inertial sensing of human movement: a critical review of the fundamentals. - Kristen H. E. Beange; Adrian D. C. Chan; Ryan B. Graham (MeMeA, 2023)

Assessing the Soldier Survivability Tradespace Using a Single IMU. - Matthew P. Mavor; Victor C. H. Chan; Kristina M. Gruevski; Linda L. M. Bossi; Thomas Karakolis; Ryan B. Graham (IEEE Access, 2023)