Introduction
While the design of The MotionMonitor xGen has focused on reducing the cost and time required to run a motion capture research lab, there is one feature that has far and away the biggest impact. It is Data Reduction and the ability to quickly identify and eliminate outliers. With a few clicks of the mouse, you can normalize all your session trials to start and end events, ensemble average the data, compute standard deviations and display your data graphically together with plots from each trial. Why is this such a powerful time and money saver?
- It automates a time-consuming manual process: The ability to automate resampling and ensemble averaging is a major timesaver. This typically time-consuming task, when done manually, can be tedious and prone to error. Automating it reduces workload and increases precision.
- Quickly identifies outliers: Graphing individual trials against averages and standard deviations quickly identifies outliers. The ability to right click on a trial, remove it from the data reduction and recompute average and standard deviations is a huge time saver.
- Avoids the cost of recruiting subjects: One of the most impactful aspects is its role in preventing unnecessary costs. By catching outliers before participants leave the lab, the system prevents the need to recruit and compensate additional subjects. This reduces the overhead associated with subject recruitment and enhances the management of the overall research budget.
This 1-minute video clip with narration should make it all obvious!
If you would like to hear more about the features and benefits of The MotionMonitor xGen visit our site at https://xgen4.com/features/ or talk with a Client Support Engineer at (1)-773-244-6470.