1. create_hybrid_model: load static c3d file
2. apply_model_template: apply model template (mdh file)
   1. tutorial to build a model template can be found here.
3. set necessary model metrics (most metrics should be calculated based on markers, but height and weight always need to be entered manually):
   1. set_subject_height
   2. set_subject_weight

1. file_open: load dynamic c3d files
2. assign_model_file: associated static trial with appropriate dynamic trials
   1. note: if a marker falls off during data collection, you should re-take a static trial and associate the appropriate dynamic trials

1. select_active_file: set active file to all_files
2. set use processed:
   1. set_use_processed_targets: set to true
   2. set_use_processed_analog: set to true
3. set_force_platform_threshold: common minimum values are:
   1. overground plates: 20 n
   2. treadmill: 50 n
4. gap fill & filter target data:
   1. interpolate
   2. lowpass_filter
5. filter analog data:
   1. lowpass_filter
6. if using treadmill data only use fp_auto_baseline
7. recalc

1. check for clean force assignments
   1. interactive_graph_signals:
      1. plot vertical component of kinetic_kinematic::lft::force_1
   2. interactive_graph_signals:
      1. plot vertical component of kinetic_kinematic::rft::force_1
   3. open_force_dialogs: open force assignment dialog
   4. switch_between_tabs: switch to signals and events tag
   5. pipeline_breakpoint: pause pipeline to manually check force assignments
      1. remove any force assignment that is not clean
      2. remove any partial force assignments (this includes force assignments at the start/end of the trial)
2. select_active_file: set active file to all_files
3. automatic_gait_events: create gait events

1. kinematic gait events

1. open_report_template: load report template (rgt file)
2. stop pipeline to review data prior to export:
   1. switch_between_tabs
   2. pipeline_breakpoint

notes:

• many users are skipping report templates - but it's highly recommended to even create a simple report template to review data prior to export. no data collection is perfect, and reviewing the data prior to exporting ensures the data is a quality assurance step.
• instructions to create a report template can be found here
• the report template contains any signals defined using the compute model based function

1. calculate additional signals
2. calculate metrics

1. export data to a text file

1. save cmz