CSP Elite Baseball Development Podcast: The Next Generation of Biomechanics with Scott Selbie

June 16, 2022
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Recent Posts
Can Markerless Motion Capture Accurately Track Multiple Athletes at Once?
A new 2025 study puts Theia3D to the test in dual-athlete sport tasks, and the results may surprise you.
How Oregon State University Captured Real-World Running Biomechanics — Without Markers or a Lab
Discover how researchers at Oregon State University used Theia3D’s markerless motion capture system to study trail running biomechanics in real-world environments. This case study details their 10-camera outdoor setup, methodology, and early insights into hip and ankle kinematics across different surfaces and footwear. Learn how markerless tech enabled OSU to capture high-quality, lab-grade data — without markers, force plates, or a controlled environment.
The One Thing That Makes or Breaks Your Biomechanics Dataset
In this series, we’re unpacking the STRN Quality Framework — a set of 25 measurable features across five key pillars — to help researchers, clinicians, and technology buyers evaluate motion capture systems more effectively. Each post explores one pillar in depth, with practical examples, critical questions to ask, and insights on how markerless systems like Theia3D align with these industry standards.

Summary

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

Content originally published by Eric Cressey.

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Recent Posts
Can Markerless Motion Capture Accurately Track Multiple Athletes at Once?
A new 2025 study puts Theia3D to the test in dual-athlete sport tasks, and the results may surprise you.
How Oregon State University Captured Real-World Running Biomechanics — Without Markers or a Lab
Discover how researchers at Oregon State University used Theia3D’s markerless motion capture system to study trail running biomechanics in real-world environments. This case study details their 10-camera outdoor setup, methodology, and early insights into hip and ankle kinematics across different surfaces and footwear. Learn how markerless tech enabled OSU to capture high-quality, lab-grade data — without markers, force plates, or a controlled environment.
The One Thing That Makes or Breaks Your Biomechanics Dataset
In this series, we’re unpacking the STRN Quality Framework — a set of 25 measurable features across five key pillars — to help researchers, clinicians, and technology buyers evaluate motion capture systems more effectively. Each post explores one pillar in depth, with practical examples, critical questions to ask, and insights on how markerless systems like Theia3D align with these industry standards.
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Summary