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Visual 3d

Manufactured by MathWorks
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Sourced in United States

Visual 3D is a software tool for visualizing and analyzing three-dimensional data. It provides functionality for displaying and manipulating 3D objects, scenes, and data.

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Lab products found in correlation

Matlab r2018a, by MathWorks (1 mentions) Matlab, by MathWorks (1 mentions) Visual3d, by C-Motion (1 mentions) Track manager, by Qualisys (1 mentions)

2 protocols using visual 3d

1

Steady-State Walking Speed Measurement

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For the FST condition, the SSWS was read directly from the treadmill controller interface. For the AST condition, each participant’s SSWS was calculated as the average speed from 30 s of the start of the AST to 3 min of recorded walking from the real-time speed component of the AST controller to ensure steady-state walking by excluding the acceleration period. For the outdoor walking condition, SSWS was calculated as the final distance covered in 6 min over time then converted to m/s. Data analysis was performed in both Visual 3D and MATLAB R2018a (MathWorks, Natick MA, USA).
Parker S.M., Crenshaw J., Hunt N.H., Burcal C, & Knarr B.A. (2021). Outdoor walking exhibits peak ankle and knee flexion differences compared to fixed and adaptive-speed treadmills in older adults. BioMedical Engineering OnLine, 20, 104.
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2

Multimodal Kinematics Analysis Protocol

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For both experiments, the 3D positions of markers were triangulated with Qualisys Track Manager (Qualisys, Gothenburg, Sweden) and exported to Visual 3D (C-Motion Inc., Germantown, MD). A 10Hz low-pass filter was applied to the 3D data.
The DataLITE management software (10.05, Biometric Ltd., Newport, UK) recorded the electrogoniometer output and quantified the radial-ulnar and flexion-extension components of the RoM tasks.
An active low transistor-transistor logic (TTL) pulse which was sent to both systems at the start of each capture allowed for post-processing synchronization. The biaxial angles from DataLITE and Euler angles from Visual3D were exported to MATLAB (R2017a, The MathWorks Inc., Natick, MA) for synchronization and analysis.
McHugh B.P., Morton A.M., Akhbari B., Molino J, & Crisco J.J. (2020). Accuracy of an electrogoniometer relative to optical motion tracking for quantifying wrist range of motion. Journal of medical engineering & technology, 44(2), 49-54.
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