NeuMove

The Neuromechanics of Movement Laboratory

Northeastern University

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  • Before NeuMove
updated in February 2025
MyoSuite: contact-rich framework for musculoskeletal motor control
  • In collaboration with: Meta AI, University of Twente, McGill University


MyoAssist: a MyoSuite package for assistive devices
Seungmoon Song's projects before 2022

Self-paced treadmill
  • Systems: Bertec instrumented treadmill, Speedgoat, Matlab
  • Song, S., Choi, H., & Collins, S. H. (2020). Using force data to self-pace an instrumented treadmill and measure self-selected walking speed. Journal of NeuroEngineering and Rehabilitation, 17(1), 1-14.

NeurIPS 2019: Learn to Move - Walk Around
  • Role: lead-organizer
  • Team: Stanford U, UC Berkely
  • Song, S., Kidziński, Ł., Peng, X. B., Ong, C., Hicks, J., Levine, S., Atkeson, C. G. & Delp, S. L. (2021). Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation. Journal of neuroengineering and rehabilitation, 18(1), 1-17.

3D neuromechanical simulation of human locomotion
  • Matlab (R2017a or older)
  • Song, S., & Geyer, H. (2015). A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion. The Journal of physiology, 593(16), 3493-3511.
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