The Mobilize Center’s software efforts center around two Technology Research and Development (TR&D) projects.
TR&D Project 1
Biomechanics via Wearable Sensors
Our technology pushes the bounds of what we can measure via wearable sensors. Focusing on biomechanical quantities beyond steps, we are creating validated models that enable researchers to explore novel uses of wearable sensors. Our efforts draw on our team’s expertise in both biomechanical and machine-learning approaches.
OpenSim
Software platform with both an API and a GUI for musculoskeletal modeling and simulation
OpenSense
Software tool for analyzing movement with inertial measurement units (IMUs)
OpenSim Moco
Software tool for solving musculoskeletal optimization problems
AddBiomechanics
Software for computing inverse kinematics and dynamics automatically from motion capture files
Metabolic Expenditure Estimates
Software for estimating energy expenditure during movement using two leg-worn inertial measurement units (IMUs)
TR&D Project 2
Machine Learning for Mobility Data
To fill the need for tools that analyze data about movement and rehabilitation, we are developing machine-learning models to analyze and generate insights from unstructured, high-dimensional data, including time-series (e.g., from mobile sensors), images (e.g., MRI), and video (e.g., smartphone video of a patient’s gait).
OpenCap
2D video-based technology to record motion and estimate musculoskeletal forces using smartphones
Sit2Stand
Software for computing sit-to-stand biomechanics using a mobile phone
DeepFOG
Software for detecting freezing of gait using inertial measurement units (IMUs)
DOSMA
A platform for developing deep-learning models from unstructured data, like text and images
CP GaitLab
Software for gait analysis from 2D video, such as captured by smartphones
KneeNet
Machine-learning models to automatically compute meaningful quantities for knee osteoarthritis from medical images
Comp2Comp
Software for rapid, automated body composition analysis of computed tomography scans
Snorkel
A platform for developing deep-learning models from unstructured data, like text and images