Seungmoon Song, Ph.D.

Affiliations: 
2018- Mechanical Engineering Stanford University, Palo Alto, CA 
Area:
neuromechanical simulation, rehabilitation robotics
Website:
http://seungmoon.com/
Google:
"Seungmoon Song"

Parents

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Hartmut 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
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