New Research on Theia3D

(For a more up-to-date version of this article, see our new post here!)

Every year new research articles are published using Theia3D. In order to synthesize these publications we have provided links to the original articles below. If you would like a full description of the abstracts please email us directly and our team can provide a copy of the latest Theia3D Research Compendium.

• Concurrent assessment of gait kinematics using marker-based and markerless motion capture

• Clothing condition does not affect meaningful clinical interpretation in markerless motion capture

• Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

• Inter-session repeatability of markerless motion capture gait kinematics

• Description, Development and Dissemination of Two Consistent Marker-based and Markerless Multibody Models

• Applications and limitations of current markerless motion capture methods for clinical gait biomechanics

• Comparison of Lower Extremity Joint Moment and Power Estimated by Markerless and Marker-Based Systems during Treadmill Running

• Accuracy of a markerless motion capture system in estimating upper extremity kinematics during boxing

• Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

• Feasibility of Markerless Motion Capture for Three-Dimensional Gait Assessment in Community Settings

• Inter-Session Repeatability of Marker-Less Motion Capture of Treadmill Running Gait

• Principal Component Analysis of Whole-Body Kinematics Using Markerless Motion Capture During Static Balance Tasks

• Comparison of concurrent and asynchronous running kinematics and kinetics from marker-based motion capture and markerless motion capture under two clothing conditions

• Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements

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