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Michael-Hills/Freestyle-Skiing-Fall-Detection

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Full Report included in Report.pdf

The code is split into two parts. The preprocessing and neural networks.

The preprocessing (including conversion of time series data) is contained within the python files:

  • preprocessing.py
  • visualisation.py

And are executed through main.py. However please note, the preprocessing and visualisation has already been executed and the data has been saved.

The neural networks are contained within the .ipynb files of the network's respective name. i.e.:

  • AlexNet.ipynb
  • ResNet50.ipynb
  • LSTM.ipynb
  • CNNLSTM.ipynb

To execute these, simply run all cells within the notebook.

Please note they may take a long time to run.

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Train and test deep learning models to classify between falls within the sport of freestyle skiing using 3D accelerometer and gyroscope data collected via smartphones

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