pyCGM2 : python Conventional Gait Model
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  • Background
    • History and Nomenclature
    • Definitions
      • Kinematic chain
      • Segments
      • Marker placement
      • Model outputs
      • Variants
    • Strengths
    • Weaknesses
    • Updating the CGM
      • Design criteria
      • Issues to be addressed
  • CGM #i
    • CGM1.0
    • CGM 1.1
    • CGM 2.1
    • CGM 2.2
    • CGM 2.3
    • CGM 2.4
    • CGM 2.5
    • CGM 2.6
  • Installation
    • Set-up python
    • Install pyCGM2
    • Known issues
  • Vicon and QTM Commands
    • Nexus Commands
      • CGM
      • Events
      • Gaps filling
      • Gait Plots
      • EMG
      • Input argument reference
    • QTM
  • Work with the API
    • Gait applications
      • Application of a conventional Gait model
      • Process your gait data
      • Detect gait events
      • Work with emg
  • Resources
    • Palpation
    • Clinical Gait analysis courses
    • Programming
      • Btk
      • Learn python
  • Frequently asked Questions
    • How to cite pyCGM2
    • How to find my conda path
    • Integrate a pyCGM2 command as a nexus pipeline operation
    • Change default CGM settings temporarly or permanantly
    • Modify the default EMG configuration
  • Blog
    • Kalman gap filling theory

CGM #i

This section presents the technical specifications of the different CGM #i models. It starts with the CGM1.0 : the Vicon Plugin gait Clone then adresses each of its limitations in a new versions.

  • CGM1
    • CGM1.0 : the Vicon Plugin gait model
    • CGM1.1 : the Vicon Plugin gait model as it should work
  • CGM2
    • CGM2.1 : Hip joint centre alteration
    • CGM2.2 : Inverse Kinematics as segmental pose algorithm
    • CGM2.3 : wand marker removal
    • CGM2.4 : a two segment foot models
    • CGM2.5 : upper limb model updated
    • CGM2.6 : functional knee calibration
Issues to be addressed CGM1.0
Instigator sponsors
Vicon Salford Univ
sponsors
Qualisys Trinoma unige
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pyCGM2 : python Conventional Gait Model
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