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Transform biomechanical datasets into unified, quality-assured formats that accelerate reproducible research¶
Stop wrestling with inconsistent data formats. Start analyzing standardized, validated biomechanical datasets from world-class research labs in minutes, not months.
3 Research Labs • 2,000+ Gait Cycles • 100% Validated • Python & MATLAB
Download Datasets¶
| Dataset | Tasks | Quality | Documentation | Download |
|---|---|---|---|---|
| Georgia Tech 2023 | Walking, stairs, inclines | Validated | Docs | Download |
| Georgia Tech 2021 | Walking, stairs, inclines | Validated | Docs | Download |
| University of Michigan 2021 | Level, incline, decline walking | Validated | Docs | Download |
| AddBiomechanics | Walking, running, jumping, stairs | Coming Soon | Docs | Coming Soon |
Datasets Reference¶
Comprehensive documentation for all standardized datasets
✓ Dataset specifications and formats
✓ Validation reports and quality metrics
✓ Variable definitions and conventions
✓ Known issues and usage notes
User Libraries¶
Analysis tools in Python, MATLAB, and R
from user_libs.python.locomotion_data import LocomotionData
data = LocomotionData('umich_2021_phase.parquet')
cycles, features = data.get_cycles('SUB01', 'level_walking')
Want to Contribute?¶
Share your lab's datasets with the research community
✓ Convert your data to standardized format
✓ Automated quality validation
✓ Increase research impact and citations
✓ Join the standardization movement