Code and data for the paper "Using data from the Microsoft Kinect 2 to quantify upper limb behavior: a feasibility study"
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data
results
.gitignore
LICENSE
README.md
generate_results_LogisticReg.py
generate_results_MDM.py
generate_results_SVM.py
utils.py

README.md

WMFT_JBHI

Code and data for the paper Using data from the Microsoft Kinect 2 to quantify upper limb behavior: a feasibility study

The data folder contain individual data for the 24 subjects of the study. Each subject performed 15 tasks of the modified WMFT under 3 conditions.

SVM results

Results obtained by using a SVM classifier

SVM

Logistic Regression results

Results obtained by using a Logistic Regression

SVM

MDM results

Results obtained by using a Riemannian MDM classifier (based on distance only)

SVM