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Scripting and anonymized datasets created through soft sensors research done by Athlete Engineering.

License: GNU General Public License v3.0

C++ 5.70% C 0.54% Python 68.40% MATLAB 25.36%
biomechanics-analysis deep-learning gait-analysis human-performance soft-sensors

soft-sensors-research's Introduction

MSU Soft Sensors Research

Tools created and maintained by MSU Athlete Engineering research concerning soft robotic sensors (SRSs).

Items and Descriptions

  • gait-biomechanics-tools - Python and R scripts developed to preprocess and analyze MOCAP/SRS experimental data.
  • SSTK-labkit-v1 - Hardware design files, firmware source, and documentation for assembly/use of SSTK-labkit-v1 modules.
  • SSTK-lab-manager - Graphical user interface implemented in Python with Qt5 to interface to SSTK-labkit modules and facilitate lab data collection.

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