Capture the motion of a persons movements
With body tracking capture the motion of a persons movements using optical or IMU based trackers.
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Tracklab Volume App
Setting up an optical motion capture system can be complex, especially for first time users and larger volumes.
Tracking for Sports Science
Embrace ultra-high accuracy tracking tools to compare performance and customise athlete training to achieve quicker results.
TVA
This app makes it easier to visualise the 3D tracking volume so that users can plan where to place the cameras, ensuring that the area available is fully utilised, without compromising on the quality.
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03 7018 2121
The field of human movement analysis is undergoing a significant transformation, driven by advancements in artificial intelligence and computer vision. At the forefront of this evolution is Theia Markerless Motion Capture, a sophisticated software solution designed to deliver highly accurate, three-dimensional biomechanical data without the need for physical markers.
Although traditional marker-based systems are accurate, they impose significant limitations. Specifically, requiring a controlled laboratory environment and applying physical markers can alter a subject’s natural movement patterns. Consequently, these factors restrict the scope of what researchers can measure.
In contrast, Theia Markerless Motion Capture overcomes these challenges. The system provides the accuracy required for scientific research and clinical validation, along with the flexibility needed for real-world application. As a result, it allows for a more comprehensive understanding of human movement as it naturally occurs.
Theia’s advanced AI-driven engine achieves its precision by processing synchronized video from multiple cameras to generate robust biomechanical models.
First, the system utilizes sophisticated neural networks to automatically identify one or more human subjects within the capture volume. It then continuously tracks each individual, even in scenarios with complex interactions and potential occlusions.
Instead of relying on simple hull-carving or edge-detection, Theia employs a more robust methodology. It begins by generating a biomechanically accurate skeletal model for each subject. Subsequently, through a process of rigid-body tracking and inverse kinematics, the system calculates a complete 3D pose, accurately resolving segment rotations to deliver a comprehensive dataset.
Furthermore, a key advantage of the system is its high-throughput capability. After collecting the video data, a user can initiate the analysis with a single click. The software then automates the entire processing pipeline, from subject identification to the final output of kinematic data, thereby significantly reducing manual analysis time.
Stop Marker-Based Artifacts
Data quality is improved by removing the physical and soft-tissue artifacts associated with skin-mounted markers.
Reduced Setup Time
The absence of marker application significantly shortens the time required for subject preparation.
Increased Ecological Validity
Subjects can be measured in their natural environment, wearing standard apparel, resulting in more authentic movement patterns.
High-Throughput Analysis
The automated processing workflow allows a greater volume of data to be analyzed in less time.
The versatility of this technology supports a wide range of professional applications where precise human movement data is critical.
The Theia system derives its precision from an advanced AI-driven engine. This engine processes synchronized video from multiple cameras to generate robust biomechanical models.
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Tracklab
Recent studies have demonstrated the concurrent validity of Theia3D with existing marker based motion capture systems when measuring spatiotemporal gait parameters (engrxiv.org/j4rbg/), shown that the gait kinematics measured with Theia3D are more reliable than those measured with existing marker based systems (biorxiv.org/cgi/content/short/2020.06.23.155358v1), and shown that joint angles for the lower extremity measured with Theia3D are within the error range of uncertainty for marker based motion capture (biorxiv.org/content/10.1101/2020.12.10.420075v1).
Yes you can, however, the cameras must collect fully synchronized, high-quality video data. We only support data collected using specific camera systems that we have verified the quality and synchronization of the captured videos. We recommend the Optitrack Prime Colour cameras for the highest quality tracking, and most reliable capture system. So, while you can use your own camera system, if it is not on our list of verified equipment it is your responsibility to ensure the system meets the requirements of Theia3D, and we will not be able to provide support to any issues related to data collection or quality.
The maximum sampling rate and capture length are limitations of the cameras used and thus are different for every camera system. Longer captures will take longer to analyze in Theia3D.
Yes, the system performs effectively outdoors. For optimal results in any environment, the lighting must be sufficient to ensure the person, including key features like their hands and feet, is clearly distinguishable in the video.
The capture volume size will be limited by the number of cameras. Larger volumes and volumes of more complex shape require more cameras.
It depends on the computer, the number of GPUs available, the number of cameras, and the capture frame rate. A typical collection of 10 seconds, collected at 40 frames per second, for 8 cameras will take around 1 minute to process on a single high-end graphics card. An Nvidia RTX 2080Ti or better is the recommended graphics card.
Only if your camera system supports the synchronized collection of external devices. The Qualisys Miqus camera system, that has been verified to work with Theia3D, has hardware options for collecting synchronized data from force plates, instrumented treadmills, EMG, and marker-based cameras.
Currently, Theia3D supports a single model. That being said, abnormal movements and pathological gait can be tracked using this software.
Yes, after the system is setup, the 3D analysis process can be fully automated for single trial or batch processing. User input is only required to start the process.
While Theia3D does not include built-in functions for report generation or biomechanical analysis, it excels at exporting data for use in dedicated analysis software.
For a seamless workflow, we recommend using Visual3D (which is included in our packaged offerings). Visual3D automatically detects the data Theia3D exports and then builds the required biomechanical models.
For maximum flexibility, however, Theia3D also exports data as standard C3D files that you can use in other compatible software platforms.
At this time Theia3D only exports C3D formatted files and AVI video files with segment/skeletal overlays applied. Future versions may export FBX formatted files.
Yes. Theia3D identifies, tracks, and analyzes every person that satisfies the visibility requirements.
Yes, the full process involves a multi-stage workflow:
Biomechanical Analysis: Finally, you import the kinematic data into a separate analysis program (like Visual3D) to interpret the results, create models, and generate reports.
Video Collection: First, you use the camera manufacturer’s software to run the cameras and collect the synchronized video data.
Kinematic Processing: Next, Theia3D processes this video data to produce 3D kinematics (such as segment positions and rotation matrices) that are ready for analysis.
Because of our dedication to data quality for biomechanics, Theia3D is state of the art in terms of accuracy. To our knowledge, no markerless system has been validated to the degree of Theia3D.
