In Motion

MotionMetrix: Automatic Markerless Running Analysis

Posted by Oliver Watson

Aug 17, 2016 10:46:12 AM

zFlo is proud to announce a new partnership with MotionMetrix, a Swedish startup focused on the analysis of running.  The MotionMetrix system uses 2 depth sensing cameras (Kinect) to capture detailed information about runners' stride, loading, and gait characteristics.  Additionally, it is important to note that the MotionMetrix system operates automatically, allowing the user to spend more time discussing results with his or her patients, and less time manually interpretting data.  


The Process

After the system is setup using tripods (for a portable solution) or wall mounts (for a fixed installation), the user must calibrate the system .  This part is done automatically with somebody standing on the treadmill.  No need for wands, frames, or other calibration objects.  Once the calibration is completed, it only needs to be repeated if the system is moved or if the cameras are bumped.  To start an analysis, the user inputs the patient's data into the system and selects a treadmill speed for the test.  Once the runner is up to speed on the treadmill, the user can start the analysis.  The system captures for about 45 seconds, and then spends an additional 15-20 seconds processing the data.  After processing is complete, the user is presented with a full report, including a spatial model representation of the runner's stride which can be viewed from the sagittal or frontal views.  

Running Assessment

Running Performance Report

The first page that is generated after processing goes over running performance.  Running economy is graded here, and ratings are applied to his or her running stride.  Additionally, through the use of inverse dynamics and an accurately entered body weight, the system is able to provide accurate estimations of a runner's joint loading characteristics. 

Automatic Running Report

Gait Characteristics

The MotionMetrix system provides detailed information about runners' gait characteristics, including an animated model that provides an easy to understand representation of how runners' gait progress.  Addtional output include step separation, knee Alignment during support phase, COM displacement, max knee flexion, and many others.  

Joint Loading

Force & Moment

One of the more interesting parts of the MotionMetrix Pro system is the Forces & Moment Generation page, which provides accurate estimations of both hip and knee loading, along with comparison data to average loading for a sample of 600 runners analyzed by the MotionMetrix team.  The captured data is referenced to a database of runners, and the system automatically relates specific joint loads to characteristics in the runner's stride.  

Automatic Running Analysis

Before and After Analysis

After you have completed one or more analysis with an individual runner, you can compare his or her results to previous captures with the click of a button.  This allows the user to see current data right next to previously captured data, as well as their current stride overlaid on the animation of their old stride.  Through easy comparison, MotionMetrix makes it painfully easy to demonstrate your value as a clinician and provides specific evidence that your course of action is working, while simultaneously highlighting areas that need another look.  After any analysis, users can also send all of the report pages, as well as a short video showing the progression of the runner's stride, via email to the client directly through the software - no need to export a report, just click send.  

If you would like to learn more about the MotionMetrix system, visit their website here, or contact us below to schedule a time for a live demonstration!


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Topics: Software, Motion Analysis Hardware

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The zFlo blog is maintained by our team in hopes of providing some insight into the motion-analysis industry. We work with a large number of companies and have over 10 years of experience working with video and optical motion capture technology - this is where we do our best to explain some of the more important aspects of how this technology can be used.