Marker-based motion capture

[rmndrs89]

I realized that our toolbox currently has no algorithms available for detecting events from the kinematic marker data. It may be interesting to implement these before the ESMAC and GAMMA meetings.

I am also assigning @karsae, as she has mainly worked with the marker data so far.

For the following we could first check what we already have in NGMT, and what need to be added:

Preprocessing

• Filtering

  • Butterworth filter: what are the most typically used filter settings?

• Interpolation

  • Gløersen and Federolf (2016)
  • AutoGaitAI

• Resampling

  • Should we use the resampy package?

• Kalman smooting

  • Kalman for inverse kinematics

Check also the Kinetics Toolkit package and the pyomeca package