swchoi0102 / Human-Activity-Recognition-using-CNN

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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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

License:Apache License 2.0


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Language:Jupyter Notebook 57.5%Language:Java 42.5%