%0 Conference Proceedings
%T Comparative Evaluation of Feature Extraction Methods for Human Motion Detection
%+ University of Patras
%A Politi, Olga
%A Mporas, Iosif
%A Megalooikonomou, Vasileios
%Z Part 2: MHDW Workshop
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Rhodes, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%Y Spyros Sioutas
%Y Christos Makris
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-437
%P 146-154
%8 2014-09-19
%D 2014
%R 10.1007/978-3-662-44722-2_16
%K Accelerometers
%K movement classification
%K human motion recognition
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01391041/document
%2 https://inria.hal.science/hal-01391041/file/978-3-662-44722-2_16_Chapter.pdf
%L hal-01391041
%U https://inria.hal.science/hal-01391041
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-437