Our most popular course was designed to introduce new or unfamiliar users to the most powerful biomechanical software available. Through 8 hours of online videos, it teaches you all the techniques you need to start using Visual3D on your own and developing your own projects.
Reporting data is generally not the most exciting part of biomechanics, however, communicating the findings from the data analysis is fundamental to successful team work. In this unit, we introduce more features available Visual3D’s reports, and we illustrate them using upper body biomechanical data.
As we report data, we often find that we need additional biomechanical parameters and events in order to properly communicate the data. In this chapter, we show you how to use the pipeline to assign tags to files, switch active files, and find events from graph minimums.
For clarity, generic images aren’t always the best reference. Since Visual3D offers visualization of segments, we devote this chapter to showing how to choose and save an image of a subject-specific motion. We also demonstrate how to insert those same images into a report next to a graph.
Visual3D reports have many available features, however, adding each item can get a bit tedious. In this chapter, we give some tips and tricks to speed up the process, and some workarounds for limitations of the grid layout.
The value of motion capture data for biomechanical evaluations is well-known, however, it made exponentially more useful when paired with analog data. Throughout this unit, we discuss various types of analog data, and some implementations in Visual3D, from the tools to the pipelines and the reports.
One of the most common pieces of equipment in a biomechanics lab is the force plate. When synchronized with kinematic data from a motion capture system, in Visual3D it is very easy to obtain joint kinetics. However, force plates can also provide standalone data as shown in this chapter.
Coordinate systems are one of the building blocks to effective and accurate biomechanical calculations. The orientation of the global coordinate system is not always ideal, so in this chapter, we show you the basics of defining a virtual lab.
Electromyography, or EMG, is also quite common to find among the hardware found in biomechanics labs. However, learning how to use EMG data is not always covered. In this chapter, we show an example of processing steps that could be performed on EMG data.
Whether using kinematic data or not, it can be extremely useful to obtain events from analog data. These events can be defined using a variety of methods, so in this chapter, we show the basics of how to define key moments in data from analog signals.
EMG data can be reported in several ways. In this chapter, we show a few options to visualize the muscle data in various ways. We also show how to use gait events to make reports more informative.
