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A Human Lower-Limb Biomechanics and Wearable Sensors Dataset During Cyclic and Non-Cyclic Activities

Published in Scientific Data, this dataset includes a wide range of cyclic and non-cyclic tasks to capture a holistic picture of lower limb movements in everyday life. This provides normative biomechanics for a highly diverse range of activities and common tasks from a consistent set of participants and sensors.

  • 12 subjects, 20 non-cyclic (e.g. sit-to-stand, jumping, squatting, lunging, cutting), 11 cyclic activities (e.g. walking, running)
  • Kinematics
    • Raw motion capture marker data
    • Processed inverse kinematics
    • Real & simulated Inertial Measurement Units
  • Kinetics
    • Processed inverse dynamics
    • Real ground reaction forces from force plates
    • Simulated insoles
  • Electromyograph
    • Bilateral, 8 muscles per legĀ 
    • gluteus medius, gluteus maximus, gracilis, biceps femoris, vastus lateralis, rectus femoris, tibialis anterior, medial grastrocnemius