# Human-Activity-Recognition-using-CNN

**Repository Path**: edaworld/Human-Activity-Recognition-using-CNN

## Basic Information

- **Project Name**: Human-Activity-Recognition-using-CNN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2022-05-03
- **Last Updated**: 2022-05-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## CNN for Human Activity Recognition

<p>
<a href="https://github.com/aqibsaeed/Human-Activity-Recognition-using-CNN/blob/master/Activity%20Detection.ipynb">Python notebook</a> for blog post <a href="http://aqibsaeed.github.io/2016-11-04-human-activity-recognition-cnn/">Implementing a CNN for Human Activity Recognition in Tensorflow</a>.
</p>

### 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)

### Related Problem

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)