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CNN for Human Activity Recognition

Python notebook for blog post Implementing a CNN for Human Activity Recognition in Tensorflow.

Tools Required

Python 2.7 is used during development and following libraries are required to run the code provided in the notebook:

  • Tensorflow
  • Numpy
  • Matplotlib
  • Pandas

Dataset

The WISDM Actitracker dataset used for model training, can be downloaded from the following [link]

Related Problem

User identification from walking activity. Accelerometer dataset from 22 indivduals can be downloaded from the following [link]

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Convolutional Neural Network for Human Activity Recognition in Tensorflow

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  • Jupyter Notebook 57.5%
  • Java 42.5%