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
This command computes a metric signal containing the Discrete Fourier Transform of a Signal coefficients and the Base Frequency.
Metric_Compute_Gait_Signal_Stats
Compute discrete gain metrics that are part of the common cohort of Gait Parameters.
Compute the Gait Temporal Distance values consistent with the Visual3D report item
The value of the specified signal at the specified frame of data.
This collection of examples gives you an overview of the types of calculations that can be done using metric pipeline commands.
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