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The source codes for the paper, "An unsupervised approach to detecting and isolating athletic movements", EMBC2016
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MocapData
GetFileNames.m
GetManipulability.m
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LieConvolution.m
Main_AthleticMovemetDetection.m
MyPCA.m
README.md
eigdec.m

README.md

Athletic_Movement_Detection

These are the source codes for the paper, "An unsupervised approach to detecting and isolating athletic movements", EMBC2016. Please visit my webpage for more papers, slides, etc.

Instruction

  1. Download Human-Robot Motion Simulator from my GitHub repo.
  2. Set path the downloaded folders (including subfolders):
    Home - Set path - Add with subfolders - choose the downloaded folders
  3. Open the Main_AthleticMovemetDetection.m file and run it (F5)
  4. You can change the options (e.g. exercises, threshold value) as described in the comments in the main file.

Demo

Code_Execution_Terry_EMBC2016

Files

Terms of Use & Citation

Feel free to reuse the codes for your research with your own risk. If you feel being helped by the codes, please cite the below paper.

Terry T. Um and Dana Kulić, An unsupervised approach to detecting and isolating athletic movements, In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016.

You can download my paper and slides from my webpage. Thank you for your interest!

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