[2b593b]: / README.md

Download this file

24 lines (14 with data), 924 Bytes

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]](http://www.cis.fordham.edu/wisdm/dataset.php)

User identification from walking activity. Accelerometer dataset from 22 indivduals can be downloaded from the following [[link]](http://archive.ics.uci.edu/ml/datasets/User+Identification+From+Walking+Activity)