The resources below are designed to assist rehabilitation scientists in incorporating tools into their research.
AI Models for Movement: We will create AI models that ingest and gain insights from multi-modal data about movement and rehabilitation outcomes. The rehabilitation researchers in our community will use and test these models in many important rehabilitation areas, including movement challenges arising from aging, balance disturbances, stroke, and limb loss, to complement our work in sports injuries, osteoarthritis, and cerebral palsy.
Data Collection and Analysis Software: We provide several software tools to help collect and process movement data.
Movement Biomechanics Datasets: Our dataset will contain a diversity of people and movements. This dataset, derived from many past and ongoing studies, includes lab-based motion capture data that has been carefully curated and reviewed by our team to ensure that the data meets guidelines.