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
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