CS229 Final Project Human Activity Recognition using Smartphone Sensor Data

  • Nicholas Canova, Fjoralba Shemaj
  • Published 2016

Abstract

This paper focuses on building classifiers that accurately identify the activities being performed by individuals using their smartphone sensor data. We review the performance of the models, and make suggestions that could improve future accuracy. Exploratory data analysis and visualization techniques are used to gain a better understanding of the way users… (More)

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Cite this paper

@inproceedings{Canova2016CS229FP, title={CS229 Final Project Human Activity Recognition using Smartphone Sensor Data}, author={Nicholas Canova and Fjoralba Shemaj}, year={2016} }