Metadata-Version: 2.1
Name: rrgp
Version: 1.0.7
Summary: This project aims to train a model to recognise human activities (like walking, standing, or sitting) based on accelerometer and gyroscope data collected with a smartphone.
Home-page: https://github.com/patrickaudriaz/mini-project
Author: Geoffrey Raposo, Patrick Audriaz
Author-email: geoffrey@raposo.ch, audriazp@gmail.com
License: MIT
Description: # Human Activity Recognition Using Smartphones
        
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        This project aims to train a model to recognise human activities (like walking, 
        standing, or sitting) based on accelerometer and gyroscope data collected with 
        a smartphone.
        
        For installation and usage instructions, please refer to 
        [our documentation](https://patrickaudriaz.github.io/mini-project/).
        
        ## Dataset
        
        This package use the "Human Activity Recognition Using Smartphones Data Set".
        For more information about it, please refer to the 
        [original publication](https://archive.ics.uci.edu/ml/datasets/human+activity+recognition+using+smartphones).
        
        > Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. A Public Domain Dataset for Human Activity Recognition Using Smartphones. 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges, Belgium 24-26 April 2013.
        
        ## License
        
        This repository is made publicly available under the [MIT License](https://opensource.org/licenses/MIT).
        
        ## Authors 
        - [Geoffrey Raposo](https://github.com/ge0ra)
        - [Patrick Audriaz](https://patrick-audriaz.com/)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
