Learn how the Restore Center can accelerate your research

We provide vital infrastructure and training to advance research using mobile sensor and video technology for real-world assessments of movement and factors affecting movement

Software and Data

Our high-quality open-source software tools and data resources can jumpstart rehabilitation research studies

Training Opportunities

Our workshops, best practices guidelines, and other training resources assist rehabilitation scientists in incorporating mobile technology into their research

Pilot Project Grants

Pilot Project Grants

We fund innovative projects that accelerate the use of sensor and video technology in rehabilitation research and advance rehabilitation care

A Medical Rehabilitation Research Resource Network Center funded by the National Institutes of Health and based at Stanford University

News & Events

Attend a Course on Machine Learning and Sensors in Rehabilitation

In this introductory course co-taught by C-STAR and the Restore Center, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers. The course will be on-line on May 17, 2023, and is eligible for CME credit.