A Data-Driven Approach to Estimate Human Center of Mass State During Perturbed Locomotion Using Simulated Wearable Sensors
Author:
Funder
National Science Foundation
College of Engineering, Georgia Institute of Technology
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10439-024-03495-z.pdf
Reference26 articles.
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2. Hof, A. L. The ‘extrapolated center of mass’ concept suggests a simple control of balance in walking. Hum. Mov. Sci. 27(1):112–125, 2008. https://doi.org/10.1016/j.humov.2007.08.003.
3. Wang, Y., and M. Srinivasan. Stepping in the direction of the fall: the next foot placement can be predicted from current upper body state in steady-state walking. Biol. Lett. 10(9):20140405, 2014. https://doi.org/10.1098/rsbl.2014.0405.
4. Simonetti, E., E. Bergamini, G. Vannozzi, J. Bascou, and H. Pillet. Estimation of 3D body center of mass acceleration and instantaneous velocity from a wearable inertial sensor network in transfemoral amputee gait: a case study. Sensors. 21(9):Art. no. 9, 2021. https://doi.org/10.3390/s21093129.
5. Zhang, T., M. Tran, and H. Huang. Design and experimental verification of hip exoskeleton with balance capacities for walking assistance. IEEE/ASME Trans. Mechatron. 23(1):274–285, 2018. https://doi.org/10.1109/TMECH.2018.2790358.
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