Table of Contents
Metric Commands Overview
Metrics
Metrics are discrete quantitative values of signals such as maximum value, median value, value at a specified frame. In other words, metrics do not have a time-base like the other signals.
Metric Computation
Metric_Compute_DFT_Coefficients
Metric_Compute_DFT_Coefficients
This command computes a metric signal containing the Discrete Fourier Transform of a Signal coefficients and the Base Frequency.
Metric_Compute_Gait_Signal_Stats
Metric_Compute_Gait_Signal_Stats
Compute discrete gain metrics that are part of the common cohort of Gait Parameters.
Metric_Compute_Power_From_DFT_Coefficients
Metric_Compute_Temporal_Distance
Temporal_distance_calculations_for_gait
Compute the Gait Temporal Distance values consistent with the Visual3D report item
Compute_Volume_of_a_Convex_Hull_Across_Frames
Metric_Compute_95Confidence_Ellipse
Metric Math
Metric_Cross_Product
Metric_Dot_Product
Metric_Integrate
Metric_Maximum
Metric_Mean
Metric_Median
Metric_Minimum
Metric_Root_Mean_Squared
Metric_StdDev
Metric_Sum
Metric Events
Metric_Event_Count
Metric_Event_Sequence_Count
Metric_Explicit
Metric_Frames_Between_Events
Metric_Time_Between_Events
Metric_Time_of_Maximum_from_Event
Metric_Time_of_Minimum_from_Event
Metric_Time_of_Global_Maximum_from_Event
Metric_Time_of_Global_Minimum_from_Event
Metric_Time_of_Threshold_from_Event
Metric_Vector_Between_Events
Metric_Signal_Value_At_Event
The value of the specified signal at the specified frame of data.
Metric_Signal_Values_in_Sequence
Miscellaneous
Metric_To_Fit_Signal_To_Line
Remove_Metrics_By_Threshold
Metric_Golf_Swing_Plane
Metric_From_C3D_Parameter
Examples
This collection of examples gives you an overview of the types of calculations that can be done using metric pipeline commands.
Metrics Example 1
Computing the metrics SI and DPSI defined in the following Journal Article. Wikstrom EA, Tillman MD, Kline KJ, Borsa PA (2006) Gender and Limb Differences in Dynamic Postural Stability During Landing. Clin J Sport Med
Metrics Example 2
Given a file with multiple walking strides for which the events LON and RON have been created represent left and right contacts with an instrumented treadmill. Create one metric signal containing the value of the right knee angle at the event RON interleaved with the left knee angle at the event LON.
Metrics Example 3
Metrics Example 4
Create a meta-command that computes a linear regression. See also Metrics Example 5
Metrics Example 5
Create a meta-command that computes a linear regression. See also Metrics Example 4 This example uses Event_Labels to define the range
Metrics_Example_20
Create a metric for each of a series of event labels containing the frame number of the event