Making human movement data easier to process and share
AddBiomechanics: Automatic Processing and Sharing of Human Movement Data
['FUNDING_R01'] · STANFORD UNIVERSITY · NIH-11314561
This project builds a free cloud tool that automatically cleans and anonymizes people's movement measurements so researchers can combine them to develop better treatments for injuries and movement problems.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | STANFORD UNIVERSITY (nih funded) |
| Locations | 1 site (STANFORD, UNITED STATES) |
| Trial ID | NIH-11314561 on ClinicalTrials.gov |
What this research studies
You would use a web-based tool that takes motion-capture, wearable sensor, or gait-lab recordings and automates the time-consuming cleaning and formatting steps and removes identifying information. If researchers use the tool and agree to share, the processed data become part of a growing, standardized biomechanics dataset for machine-learning studies. The team will host the system in the cloud, test it with research groups, and release anonymized datasets to the community. The goal is to make it much faster for researchers to use large amounts of movement data to design and test new therapies.
Who could benefit from this research
Good fit: Ideal candidates are people with movement-related injuries or disorders who have motion-capture, wearable sensor, or gait-lab data and can allow those data to be shared via their clinic or research team.
Not a fit: People without recorded movement measurements or whose care does not collect motion data are unlikely to benefit directly from this project.
Why it matters
Potential benefit: If successful, this could speed up development of new and more personalized treatments for people with movement-related injuries and disorders.
How similar studies have performed: Other fields such as medical imaging and genomics have advanced rapidly after standardized, shared datasets were created, but large-scale automated data sharing for human biomechanics is relatively new.
Where this research is happening
STANFORD, UNITED STATES
- STANFORD UNIVERSITY — STANFORD, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LIU, CHENG-YUN KAREN — STANFORD UNIVERSITY
- Study coordinator: LIU, CHENG-YUN KAREN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.