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HAR

Code for the paper "Efficient Deep Clustering of Human Activities and How to Improve Evaluation" https://proceedings.mlr.press/v189/mahon23a.html, which highlights the difference between subject-dependent and subject-independent clustering, and also proposes a new state-of-the-art method for deep clustering of human activities.

Steps to reproduce:

  • Create a conda environment, python>=3.7, and install dependencies with . manual_requirements_conda.txt
  • Download the datasets, with . download_datasets.sh
  • Train and test the model with python har_cnn.py --PAMAP --num_meta_epochs 10 --num_meta_meta_epochs 10
  • Observe the effect of subject dependence, by retraining and retesting with the --subject_independent flag

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