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Hollinger, David and Altai, Zainab and Moran, Jason and Zhai, Xiaojun and Phillips, Andrew and Mei, Qichang and Liew, Bernard XW (2026) Dataset for rapid estimation of femoral neck loading during gait and dynamic exercises. Scientific Data, 13 (1). 1185-. DOI https://doi.org/10.1038/s41597-026-07429-3

Li, Yifan and He, Jiayu and Liew, Bernard and Hollinger, David S and Mei, Qichang and Gholami, Behnam and Fasli, Maria and McDonald-Maier, Klaus and Zhai, Xiaojun (2025) Self-supervised learning enhances accuracy and data efficiency in lower-limb joint moment estimation from gait kinematics. Frontiers in Bioengineering and Biotechnology, 13. 1633513-. DOI https://doi.org/10.3389/fbioe.2025.1633513

Hollinger, David and Pollard, Ryan S and Schall, Mark C and Chen, Howard and Zabala, Michael (2024) A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition. Sensors, 24 (23). p. 7857. DOI https://doi.org/10.3390/s24237857

Pollard, Ryan S and Hollinger, David S and Nail-Ulloa, Iván E and Zabala, Michael E (2024) A Kinematically Informed Approach to Near-Future Joint Angle Estimation at the Ankle. IEEE Transactions on Medical Robotics and Bionics, 6 (3). pp. 1125-1134. DOI https://doi.org/10.1109/tmrb.2024.3408892

Hollinger, David and Schall, Mark C and Chen, Howard and Zabala, Michael (2024) The Effect of Sensor Feature Inputs on Joint Angle Prediction across Simple Movements. Sensors, 24 (11). p. 3657. DOI https://doi.org/10.3390/s24113657

Hollinger, David and Schall, Mark and Chen, Howard and Bass, Sarah and Zabala, Michael (2023) The Influence of Gait Phase on Predicting Lower-Limb Joint Angles. IEEE Transactions on Medical Robotics and Bionics, 5 (2). pp. 343-352. DOI https://doi.org/10.1109/tmrb.2023.3260261