Open-Source Data & Models
![](https://www.epic.gatech.edu/wp-content/uploads/2022/02/OpenSourceBiomechanics.jpg)
A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions
Provided here is an open-source biomechanics data set that includes various conditions spanning level-ground, ramp, and stair walking. Collected data includes force plates, lower body motion capture, goniometers, IMUs, and EMGs. Data is provided for 22 healthy participants.
![](https://www.epic.gatech.edu/wp-content/uploads/2022/02/Figure_markerset-1.png)
OpenSim Open-Source Leg Models
Provided here is an open-source biomechanics model using OpenSim. The model can adjust to different pylon heights, incorporate mass & inertial properties, and provide 3D visualizations of the OSL prosthetic leg for both left and right sides.
![](https://www.epic.gatech.edu/wp-content/uploads/2022/05/Shepherd-ICRA-1-e1652205738285.gif)
Exoboot Gait Phase Estimation Model
Provided here is an open-source machine learning model for gait phase estimation using Dephy's exoboots.
![](https://www.epic.gatech.edu/wp-content/uploads/2022/07/Exo_Pic-Copy.png)
Lower limb muscle activations and metabolics from walking at multiple speeds with various hip exoskeleton impedance-based assistance profiles
Provided here is an open-source dataset including electromyography (EMG) from 8 lower limb muscles, ground reaction force, and metabolics dataset that includes 31 hip exoskeleton assistance conditions while walking at 1.0, 1.3, and 1.6 m/s. This dataset has been used to predict optimal impedance assistance parameters across walking speeds and use EMG to predict metabolic cost during hip exoskeleton assistance.
![](https://www.epic.gatech.edu/wp-content/uploads/2023/11/Screen-Shot-2023-11-22-at-11.11.02-PM.png)
Biomechanics of locomotion during ground translation perturbations
The purpose of this data set is to enable the investigation of human balance and recovery strategies during perturbed walking. We performed a study where participants walked while being exposed to ground translation perturbations. We varied the magnitude, direction, and onset time of these perturbations while collecting various biomechanical outcome metrics.
![](https://www.epic.gatech.edu/wp-content/uploads/2024/03/scherpereeldatasetbreakdown.png)
A human lower limb Biomechanics and Wearable Sensors Dataset During Cyclic and Non-cyclic activities
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 (20 non-cyclic & 11 cyclic) from a consistent set of participants and sensors.