Comparative Evaluation of Feature Extraction Methods for Human Motion Detection

  • Olga Politi
  • Iosif Mporas
  • Vasileios Megalooikonomou
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 437)

Abstract

In this article we conduct an evaluation of feature extraction methods for the problem of human motion detection based on 3-dimensional inertial sensor data. For the purpose of this study, different preprocessing methods are used, and statistical as well as physical features are extracted from the motion signals. At each step, state-of-the-art methods are applied, and the produced results are finally compared in order to evaluate the importance of the applied feature extraction and preprocessing combinations, for the human activity recognition task.

Keywords

Accelerometers movement classification human motion recognition 

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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Olga Politi
    • 1
  • Iosif Mporas
    • 1
  • Vasileios Megalooikonomou
    • 1
  1. 1.Multidimensional Data Analysis and Knowledge Management Laboratory, Dept. of Computer Engineering and InformaticsUniversity of PatrasRion-PatrasGreece

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