https://github.com/aqibsaeed/human-activity-recognition-using-cnn

Convolutional Neural Network for Human Activity Recognition in Tensorflow
https://github.com/aqibsaeed/human-activity-recognition-using-cnn

android cnn convolutional-neural-networks deep-learning human-activity-recognition notebook tensorflow

Last synced: 1 day ago
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Convolutional Neural Network for Human Activity Recognition in Tensorflow

• Host: GitHub
• URL: https://github.com/aqibsaeed/human-activity-recognition-using-cnn
• Owner: aqibsaeed
• License: apache-2.0
• Created: 2016-11-04T14:55:05.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2022-11-16T15:41:05.000Z (about 2 years ago)
• Last Synced: 2025-01-04T18:08:21.737Z (8 days ago)
• Topics: android, cnn, convolutional-neural-networks, deep-learning, human-activity-recognition, notebook, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 36.1 MB
• Stars: 473
• Watchers: 14
• Forks: 219
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## 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)

### 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)