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.
This package use the "Human Activity Recognition Using Smartphones Data Set". For more information about it, please refer to the original publication.
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.
This repository is made publicly available under the MIT License.