Comparative Evaluation of Feature Extraction Methods for Human Motion Detection - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Comparative Evaluation of Feature Extraction Methods for Human Motion Detection

Olga Politi
  • Function : Author
  • PersonId : 992350
Iosif Mporas
  • Function : Author
  • PersonId : 901215
Vasileios Megalooikonomou
  • Function : Author
  • PersonId : 992351

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.
Fichier principal
Vignette du fichier
978-3-662-44722-2_16_Chapter.pdf (404.85 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01391041 , version 1 (02-11-2016)

Licence

Attribution

Identifiers

Cite

Olga Politi, Iosif Mporas, Vasileios Megalooikonomou. Comparative Evaluation of Feature Extraction Methods for Human Motion Detection. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.146-154, ⟨10.1007/978-3-662-44722-2_16⟩. ⟨hal-01391041⟩
176 View
310 Download

Altmetric

Share

Gmail Facebook X LinkedIn More