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The Second Skin: A Wearable Sensor Suite that Enables Real-Time Human Biomechanics Tracking Through Deep Learning

This dataset accompanies a manuscript published in IEEE Transactions on Biomedical Engineering. It contains synchronized wearable sensor data and biomechanical ground truth derived from OpenSim.

View the Paper
Download the data set here

Included in this data set

  • Wearable Sensor Data
    • Microstrain IMUs (back, pelvis, thigh, shank, foot)
    • X-Sensor Pressure Insoles
    • EMG (right leg)
    • Motion Capture
  • Biomechanics Data from OpenSim (time-synchronized)
    • Inverse Kinematics
    • Inverse Dynamics
    • Joint Reaction Forces (right knee only)
  • Tasks
    • Lead Blanket Lift
    • Squats
      • Symmetric and Asymmetric
      • Weighted and Unweighted
    • Walking
      • Flat, incline, and Decline
    • Shoveling
    • Vertical Movement
      • Stairs and Ladder Climbing