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: about 1 year 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 (over 9 years ago)
- Default Branch: master
- Last Pushed: 2022-11-16T15:41:05.000Z (over 3 years ago)
- Last Synced: 2025-04-05T00:08:39.696Z (about 1 year ago)
- Topics: android, cnn, convolutional-neural-networks, deep-learning, human-activity-recognition, notebook, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 36.1 MB
- Stars: 474
- Watchers: 14
- Forks: 220
- Open Issues: 1
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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)