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AutoGaitA

AutoGaitA simplifies, accelerates, and standardises gait analyses after body posture tracking with deep learning algorithms in Python.

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mentions
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contributor
321 commits | Last commit ≈ 3 days ago

Cite this software

DOI:

10.5281/zenodo.10947620

What AutoGaitA can do for you

  • AutoGaitA's first-level tools provide a wide range of automated kinematic analyses for each input video and AutoGaitA Group allows the comparison of up to six groups.
  • AutoGaitA enables comparisons to be made across experimental conditions, species, disease states or genotypes.
  • Despite being developed with gait data, AutoGaitA can be utilised for the analysis of any motor behaviour.
Logo of AutoGaitA
Keywords
biology
Gait
Locomotion
Machine learning
Motor Control
neuroscience
Programming language
  • Python 100%
License
</>Source code
Packages
pypi.org

Participating organisations

Forschungszentrum Jülich

Reference papers

Mentions

Contributors

MH
Mahan Hosseini

Helmholtz Program-oriented Funding IV

Research Field
Research Program
PoF Topic
3 Health
3.2 Environmental and Metabolic Health
3.2.1 Metabolic Health
3.3 Systems Medicine and Cardiovascular Diseases
3.3.1 Genes, Cells and Cell-based Medicine
3.5 Neurodegenerative Diseases
3.5.1 Brain Function
3.5.2 Disease Mechanisms
3.5.3 Clinical and Health Care Research
3.5.4 Disease Prevention and Healthy Aging
  • 3 Health
    • 3.2 Environmental and Metabolic Health
      • 3.2.1 Metabolic Health
    • 3.3 Systems Medicine and Cardiovascular Diseases
      • 3.3.1 Genes, Cells and Cell-based Medicine
    • 3.5 Neurodegenerative Diseases
      • 3.5.1 Brain Function
      • 3.5.2 Disease Mechanisms
      • 3.5.3 Clinical and Health Care Research
      • 3.5.4 Disease Prevention and Healthy Aging