AutoGaitA

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

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318 commits | Last commit 7 days ago

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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.
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Keywords
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