It's a new era for Theia! See how our industry-leading AI-powered motion capture software is getting a fresh visual identity for 2025— reflecting our commitment to providing biomechanics professionals with the most advanced AI-powered motion capture tools trusted by researchers, clinicians, and sports scientists worldwide.

The new, highly-anticipated Theia3D release we've been discussing here these past few months is now available for all Theia customers, and to commemorate this exciting release we're giving it a name; Theia3D Apollo! In this blog post, we’ll cover some of the new and exciting changes that come with Theia3D Apollo and provide the relevant links to previous blog posts.

This blog post outlines our approach to R&D and includes links to many peer-reviewed articles using or citing Theia3D.

In this blog post, we outline the newest TMBatch features introduced through the upcoming Theia3D Apollo software release.

In this blog post, we outline the newest features introduced through the upcoming Theia3D Apollo software release.

Theia3D uses a large number of precisely predicted keypoints and an inverse kinematic approach to obtain whole body pose estimates during any movement - but how much is the solution dependent on the IK model and its constraints? In this blog post, we investigate this question by comparing kinematics produced with varying degrees of freedom in the lower limb joints, and find that the kinematic results are largely unchanged - a nod to the robustness of our model and its keypoints.

The Theia3D Apollo update is coming soon! Theia3D kinematics have been evaluated against marker-based data many different times, including against varying model definitions. One of the most apparent differences that has come up during these evaluations are those in the pelvis and hip kinematics due to Theia3D’s use of a neutral pelvis. In this blog post, we continue our lead-up to Theia3D Apollo later this month by discussing the differences and changes that have been made to the Theia3D model which improve on the pelvis and hip kinematics, and go further to improve hip joint center positioning.

Theia3D's 2024 update, Apollo, is fast approaching! Please stay tuned over the next two weeks as we will be releasing multiple blog posts detailing some of the improvements to look forward to later this month! In this blog post, we provide an update on the validation of Theia3D Apollo against Theia 2023 and our reference marker dataset. This includes an examination of numerous biomechanical measures such as segment and joint angles, and shows subtle but meaningful improvements in several measures across multiple movement types, including slow, fast, cyclic, non-cyclic, bilateral, and unilateral movements. For interested readers, we recommend keeping an eye on the blog for more Theia3D Apollo update posts including a discussion of model changes and the effects of varying degrees of freedom on Theia markerless tracking. Stay tuned!

In this blog post, we discuss how to optimize your markerless motion capture system for multi-person data collections. We will also quickly review the preferences menu within Theia3D and answer frequently asked questions related to multi-person tracking situations.

In this follow-up post to our Characteristics of Video Data for New Users post, we’ll highlight some of the important lighting factors to understand so that you can get the best data from your collections.

In this blog post we'll discuss how CONTEMPLAS video systems work together with Theia3D to perform seamless markerless motion tracking.

As you may know, Theia3D utilizes synchronized color video data in order to track human movement. Naturally, it works best with high-quality video data! As a new user of markerless motion capture software, you may be unfamiliar with video data and its various characteristics, but in this blog post we’ll give you a quick overview of the aspects of video data that are important to consider when recording data to analyze in Theia3D.

New research on the repeatability of gait outcomes in patients with knee osteoarthritis using markerless motion tracking has been published!

In this blog, Hochschule Offenburg describes how they use Theia3D to perform markerless motion capture-based animations!

In this blog post, we discuss how to integrate synchronized signals from peripheral devices with your Theia3D kinematics.

In this post we provide some pointers for Theia users who are new to Visual3D, and how to approach post-processing in Visual3D.

In this blog post, we provide some guidance for working with Theia3D data in Visual3D.

In this blog post Rob Kanko summarizes the latest publication on Theia3D from the Queen’s University Human Mobility Research Lab. You can also check out the full publication in the Journal of Applied Biomechanics.

In this post we cover the topic of occlusions in markerless motion tracking.

A breakdown of some of the more common issues with collecting data and how to troubleshoot them.

Avoiding bias in algorithm development and training is a top priority. We consider data, architecture, training procedure as well as testing as critical components, and continually expand on how we test and retest this process to ensure it improves over time. Our goal is to provide a system that can accurately and reliably measure human movement, and these, among other processes, are essential in recognizing and eliminating factors that can negatively impact signal quality.

It’s important and needs to be thought through. Doing a literature review, equipment assessment, pilot study, and more testing is a great starting point to find a frequency that best fits your experiment.

All data is stored and analyzed locally - the user is responsible for the entire data life cycle. Using the C drive (or “boot drive”) for short term storage, an SSD or network drive for medium term storage, and a mass storage device for archiving will ensure that the data is properly managed for analysis and re-analysis, allow the IT protocols and security requirements for sensitive data of the site to be followed, and limit the likelihood of data loss.

Our premium onboarding program will get you ready to launch your first markerless motion capture data collection quickly and efficiently - on your own schedule.

In this blog post we interview support engineer Rob Kanko and get his insight on the portability of markerless motion capture!

Thinking of running your own validation study using Theia3D? Let us share our experience and advice for getting the most out of your efforts.

A new blog post that lists best practices for data collection and analysis with our markerless motion tracking system!

Patch 7 of Theia 2023 is now live with some modest but helpful features! These features are located in the settings pane and provide added clarity on how people are identified and tracked within the volume. Okay, let’s dive in!

Theia 2023.3 is now available in your downloads portal and ready to go. This version of the software is a small but important update to the 2023 release. It contains added features and model improvements that increase the overall accuracy of the system!

You asked, we answered. We expended serious effort adding valuable features that we believe make the Theia user experience that much better. Thank you for all the excellent recommendations.

This is likely the fastest and most impressive consumer grade piece of hardware we have tested. The build quality itself is great, and the results show in the analysis speed. With Theia 2023, this new hardware is supported.

This is the first of our Theia release blogs and the message is simple: "Things were good, and now they are better". We see subtle, but meaningful improvements in challenging poses (3D position and orientation of the multibody model) with large ranges of motion, and we see reduced variability for many signals. We are committed to documenting and “re-validating” each release as standard practice, with a goal to continually make each release document more comprehensive.

Every year new research articles are published using Theia3D. Take a look!

A review of Vicon's mocap system setup with Vue cameras along with FLIR's Blackfly S cameras.

Tips for collecting accurate output data with Theia3D.

More new and exciting research validating markerless motion capture using Theia3D.

Everything you need to know about budgeting for a markerless motion capture system.

Insight into how the data used to train our algorithms allows us to track all kinds of individuals and conditions.

New original research article from Frontiers in Sports and Active Living validating markerless motion capture using Theia3D during boxing.

NaturalPoint camera system review. Part 3 in our 4-part series on using different camera systems with Theia3D.

Qualisys camera review. Part 2 in our 4-part series on using different camera systems with Theia3D.

First installment in a 4-part blog series assessing camera systems to consider for Theia 3D markerless motion tracking. Part 1 - Sony

An excerpt from a new publication in Frontiers in Human Neuroscience validating the use of Theia3D for reliable gait analysis.

An excerpt from a new publication in Frontiers in Human Neuroscience validating the use of markerless motion capture as a digital biomarker.

Check out this podcast on the next generation of biomechanics featuring Dr Scott Selbie

Check out this podcast on the past, present, and future of pose estimation featuring Dr Scott Selbie

A firsthand look at how Theia's markerless technology is helping experts at Sanford Health improve the return-to-play process.

A common challenge in human movement measurement is occlusions. Read about how Theia approaches this problem in markerless tracking.

Does there have to be a tradeoff between speed and accuracy in motion tracking? At Theia, we strive to constantly improve both.

What should you consider when vetting new technologies for your research program? Here's our list of considerations for going markerless.

In markerless motion capture, camera placement can significantly impact the accuracy of results. Here is some information on system setup.

Improve your standard of motion tracking by making the switch to markerless. You don't have to leave old data behind, you can reanalyze it!

Some thoughts on how to choose the best camera for your markerless motion capture projects.

How Theia uses supercomputers to accelerate our data pipeline, avoid training bottlenecks, and run more experiments.

Learn how to use reliable technology, rather than your eyes, to make better biomechanical assessments.

Discussing accuracy and precision in biomechanics, and understanding what your system can and can't measure.

Advice on how to check your calibration without having to redo it, and how to find a process that limits the need to recalibrate.

Explore some of the benefits of scaling up data collection with markerless motion capture.

Data management in labs is crazy! Take some time and think about how you will name your files and get buy-in from your lab, it will make a huge difference.

How Theia is dedicated to running a litany of tests and validations during each new release cycle.

We miss you and want to connect! Hopefully this becomes a place for cool stories and information regarding biomechanics, machine vision and artificial intelligence.

How we approached validation work, with an attached white paper. Peer reviewed publications linked as well.

Be practical and reasonable; this isn't magic. We need feature rich images that are in focus with decent lighting. Another consideration is the comfort of the person being measured. Generally, normal athletic clothing is a good choice.

Smoothing signals is really important to remove unwanted artifacts. Be sure to understand the effect of your filter, test it yourself, and make sure to consult literature.