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_Compute_DFT_Coefficients

Metric_Compute_Gait_Signal_Stats

Metric_Compute_Power_From_DFT_Coefficients

Metric_Compute_Temporal_Distance

Compute the Gait Temporal Distance values consistent with the Visual3D report item

Gait Temporal Distance

Compute_Volume_of_a_Convex_Hull_Across_Frames

Metric_Compute_95Confidence_Ellipse

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_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

Metric_To_Fit_Signal_To_Line

Remove_Metrics_By_Threshold

Metric_Golf_Swing_Plane

Metric_From_C3D_Parameter

This collection of examples gives you an overview of the types of calculations that can be done using metric pipeline commands.

Metrics_Example1

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

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.

Create a meta-command that computes a linear regression. See also 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

Create a metric for each of a series of event labels containing the frame number of the event