How Northwestern University Cuts Data-Collection Time by One-Third Using Markerless Motion Capture

November 18, 2025
Theia
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Recent Posts
A Major Research Milestone for Theia3D
More than 50 independent, peer-reviewed research publications now cite, evaluate or review Theia3D across domains including gait, sports performance, postural control, upper-extremity movement and other biomechanics applications. These publications are available in world-leading journals including Journal of Biomechanics, Journal of Applied Biomechanics, Gait & Posture and Clinical Biomechanics. Together, they represent a growing body of evidence across different movements, populations and environments, reinforcing Theia3D’s position as the most extensively validated markerless motion capture system.
Beyond The Radar Gun: How Dean Jackson uses Theia3D For Incremental Velocity Analysis
This article is a first in a miniseries that breaks down what motion capture can show beyond radar, ball data, and standard video. In this first installment, Dean breaks down how he uses Incremental Velocity Analysis, or IVA, to study what changes biomechanically as pitchers move closer and closer to max output.
New Research on Theia3D: Comparing Markerless and Marker-Based Shoulder Kinematics Across Full Arm Range of Motion
A 2025 study published in the Journal of Biomechanics compared shoulder kinematics measured with Theia3D markerless motion capture against gold-standard marker-based motion capture across full arm ranges of motion. The results show strong agreement for many movements, particularly in the coronal plane, while also highlighting where caution is still required, especially at the extremes of ranges of motion and in transverse-plane rotations.

Summary

Athletic Movement Performance (AMP) Lab, directed by Dr. Yuki A. Sugimoto in the Department of Physical Therapy and Human Movement Sciences (PTHMS) at Northwestern University’s Feinberg School of Medicine, is advancing ACL-injury and chronic ankle instability (CAI) research by integrating Theia3D markerless motion capture to analyze high-risk movements – including jumping, landing, sprinting, and cutting – in adolescent and collegiate athletes. With Theia3D, the AMP Lab has streamlined key components of real-world biomechanics data collection, completing sessions approximately one-third faster than before. This increased efficiency allows the team to evaluate more athletes, run more trials, and accelerate investigations into lower-limb injury mechanisms that directly inform sport-performance and sports-medicine decision-making.

How Northwestern University Cuts Data Collection Time by One-Third

Northwestern University’s AMP Lab (Athletic Movement Performance), directed by Dr. Yuki A. Sugimoto, is advancing ACL-injury and chronic ankle instability (CAI) biomechanics research by integrating Theia3D markerless motion capture.

With Theia3D, the AMP Lab has streamlined key components of real-world biomechanics data collection, completing sessions approximately one-third faster than before. This increased efficiency allows the team to evaluate more research participants, run more trials, and accelerate investigations into lower-limb injury mechanisms.

Why Speed Matters in Biomechanics Research

Traditional marker-based motion capture requires 20-45 minutes of participant preparation per session. For labs running high-volume studies, this preparation time is the primary bottleneck to scaling data collection.

By eliminating marker placement, Theia3D compresses this to minutes, enabling:

  • More research participants per day without adding staff
  • More trials per participant for better statistical power
  • Reduced participant burden that improves natural movement quality
  • Consistent, operator-independent tracking across sessions

Research Applications at Northwestern

The AMP Lab uses Theia3D to analyze high-risk movements including jumping, landing, sprinting, and cutting in adolescent and collegiate athletes. The lab’s investigations into lower-limb injury biomechanics benefit directly from the system’s ability to capture natural, full-speed movement without instrumentation constraints.

Contact us to discuss how Theia3D can improve the efficiency of your biomechanics research program.

Recent Posts
A Major Research Milestone for Theia3D
More than 50 independent, peer-reviewed research publications now cite, evaluate or review Theia3D across domains including gait, sports performance, postural control, upper-extremity movement and other biomechanics applications. These publications are available in world-leading journals including Journal of Biomechanics, Journal of Applied Biomechanics, Gait & Posture and Clinical Biomechanics. Together, they represent a growing body of evidence across different movements, populations and environments, reinforcing Theia3D’s position as the most extensively validated markerless motion capture system.
Beyond The Radar Gun: How Dean Jackson uses Theia3D For Incremental Velocity Analysis
This article is a first in a miniseries that breaks down what motion capture can show beyond radar, ball data, and standard video. In this first installment, Dean breaks down how he uses Incremental Velocity Analysis, or IVA, to study what changes biomechanically as pitchers move closer and closer to max output.
New Research on Theia3D: Comparing Markerless and Marker-Based Shoulder Kinematics Across Full Arm Range of Motion
A 2025 study published in the Journal of Biomechanics compared shoulder kinematics measured with Theia3D markerless motion capture against gold-standard marker-based motion capture across full arm ranges of motion. The results show strong agreement for many movements, particularly in the coronal plane, while also highlighting where caution is still required, especially at the extremes of ranges of motion and in transverse-plane rotations.
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