Motion capture data is often used alongside synchronized electromyography (EMG) data, so you will most likely find a need to process muscle activations. In this tutorial, we show you how to create a pipeline to perform linear envelope smoothing of your data. We show you the steps to implementing high-pass, rectify, and low-pass commands on EMG signals.
As you automate your data processing in the pipeline, you will likely need to implement high-pass and low-pass filters. As you determine the best ways to use these filters, customizing the pipeline commands will give you full control over your data processing.
Processing your data is an essential part of obtaining valuable information from your motion capture measurements. Two of the key ways to clean up your data are to use high-pass and/or low-pass filters. In this tutorial, we talk about what these filters actually do. As we touch on high and low-frequency components of a signal, we explain how to remove them using filters.
Although we often process our data for gaps before it gets to Visual3D, it happens that we need to interpolate our data from the pipeline. In this video, we walk through the steps and options to fill gaps in your trajectory data.
