Seungmoon Song, Ph.D.
Affiliations: | 2018- | Mechanical Engineering | Stanford University, Palo Alto, CA |
Area:
neuromechanical simulation, rehabilitation roboticsWebsite:
http://seungmoon.com/Google:
"Seungmoon Song"Parents
Sign in to add mentorHartmut Geyer | grad student | 2010-2017 | Carnegie Mellon |
Steven H. Collins | post-doc | 2018- | Stanford |
Christopher G. Atkeson | post-doc | 2017-2020 | Carnegie Mellon (LinguisTree) |
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Publications
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Dzewaltowski AC, Antonellis P, Mohammadzadeh Gonabadi A, et al. (2024) Perturbation-based estimation of within-stride cycle metabolic cost. Journal of Neuroengineering and Rehabilitation. 21: 131 |
Lakmazaheri A, Song S, Vuong BB, et al. (2024) Optimizing exoskeleton assistance to improve walking speed and energy economy for older adults. Journal of Neuroengineering and Rehabilitation. 21: 1 |
Bryan GM, Franks PW, Song S, et al. (2021) Optimized hip-knee-ankle exoskeleton assistance reduces the metabolic cost of walking with worn loads. Journal of Neuroengineering and Rehabilitation. 18: 161 |
Bryan GM, Franks PW, Song S, et al. (2021) Optimized hip-knee-ankle exoskeleton assistance at a range of walking speeds. Journal of Neuroengineering and Rehabilitation. 18: 152 |
Song S, Kidziński Ł, Peng XB, et al. (2021) Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation. Journal of Neuroengineering and Rehabilitation. 18: 126 |
Song S, Collins SH. (2021) Optimizing Exoskeleton Assistance for Faster Self-Selected Walking. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 29: 786-795 |
Song S, Choi H, Collins SH. (2020) Using force data to self-pace an instrumented treadmill and measure self-selected walking speed. Journal of Neuroengineering and Rehabilitation. 17: 68 |
Song S, Geyer H. (2018) Predictive neuromechanical simulations indicate why walking performance declines with aging. The Journal of Physiology |
Song S, Geyer H. (2017) Evaluation of a Neuromechanical Walking Control Model Using Disturbance Experiments. Frontiers in Computational Neuroscience. 11: 15 |
Song S, Geyer H. (2015) A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion. The Journal of Physiology. 593: 3493-511 |