| Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment SR Donahue, ME Hahn Scientific Reports 13 (1), 2339, 2023 | 8 | 2023 |
| Validation of running gait event detection algorithms in a semi-uncontrolled environment SR Donahue, ME Hahn Sensors 22 (9), 3452, 2022 | 5 | 2022 |
| Estimation of ground reaction force waveforms during fixed pace running outside the laboratory SR Donahue, ME Hahn Frontiers in Sports and Active Living 5, 974186, 2023 | 4 | 2023 |
| User independent estimations of gait events with minimal sensor data SR Donahue, L Jin, ME Hahn IEEE Journal of Biomedical and Health Informatics 25 (5), 1583-1590, 2020 | 4 | 2020 |
| Feature identification with a heuristic algorithm and an unsupervised machine learning algorithm for prior knowledge of gait events SR Donahue, ME Hahn IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 108-114, 2021 | 3 | 2021 |
| Data-Driven Modelling of the Non-Linear Dynamics of Passive Lower-Limb Prosthetic Systems S Donahue, T Kingsbury, K Takahshi, MJ Major Journal of Mechanisms and Robotics, 1-28, 2023 | | 2023 |
| Machine Learning and Wearable Sensors for the Estimation of Biomechanical Variables Outside the Laboratory S Donahue University of Oregon, 2022 | | 2022 |
| Are maximum ground forces and leg compression in phase? A test of the classical spring mass model of running gaits S Donahue University of Montana, 2017 | | 2017 |
Li JinSan Jose State UniversityVerified email at sjsu.edu
