Markless Motion Analyser

Versione 6.0.0 (37,5 KB) da Rodrigo Bini
This program extracts keypoints (i.e. joints) using a pre-trained neural network and calculates body CoM location.
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Aggiornato 15 ago 2022

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This app expands from an existing code (https://github.com/matlab-deep-learning/Human-Pose-Estimation-with-Deep-Learning) to extract keypoints using a pre-trained neural network and calculates body CoM location from video files. It does the same by integrating a module provided in this link: MATLAB - OpenPose - wrapper - File Exchange - MATLAB Central (mathworks.com)
There is a module to create videos with the joints and centre of mass locations and another module to scale the coordinates using linear calibration and scale the coordinates using a checkerboad calibration.
To use the OpenPose module, you need to download files provided by Gil: GitHub - gilserrancoli/capture_2Dcycling: This repository contains the MEX function to call OpenPose routine for image processing, and the MATLAB code to analyze the cycling data

Cita come

Rodrigo Bini (2024). Markless Motion Analyser (https://www.mathworks.com/matlabcentral/fileexchange/101784-markless-motion-analyser), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2022a
Compatibile con R2019b e release successive
Compatibilità della piattaforma
Windows macOS Linux

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Versione Pubblicato Note della release
6.0.0

Addition of module to run OpenPose and to scale coordinates using checkerboard.
5.0.0

Amended image resize. Needs to export images for scaling after passing them through the network to match image resolution. For better results, select the whole screen for cutting the image.
4.0.0

Amending reference to source code.
3.0.0

Corrected image resolution after CNN tracking.
2.0.0

Corrected image resolution in the CNN output.
1.0.0