Multiscale PCA to distinguish regular and irregular surfaces using tri axial head and trunk acceleration signals

Gita Pendharkar, Ganesh R. Naik, Amit Acharyya, Hung T. Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study uses multiscale principal component analysis (MSPCA) signal processing technique in order to distinguish the two different surfaces, tiled (regular) and cobbled (irregular) using accelerometry data (recorded from MTx sensors). Two MTx sensors were placed on the head and trunk of the subject while the subject walked freely over the regular and irregular surfaces during a free walk. 3D acceleration signals, vertical, medio lateral (ML) and anterior-posterior (AP) were recorded for the head and trunk segments and compared for the free walk on a defined route. The magnitude of the ML and AP acceleration obtained from the MTx sensors (for both head & trunk) was higher when walking over the irregular (cobbled) surface as compared to the regular (tiled) surface. The accelerometry data was initially analysed using MSPCA and was later classified using naïve Bayesian classifier with >86% accuracy. This research study demonstrates that MSPCA can be used to distinguish the regular and irregular surfaces. The proposed method could be very useful as an automated method for classification of the two surfaces.

Original languageEnglish
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of PublicationMilan
PublisherIEEE
Pages4122-4125
Number of pages4
ISBN (Electronic)9781424492718, 9781424492701
DOIs
Publication statusPublished - 5 Nov 2015
Externally publishedYes
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy
Duration: 25 Aug 201529 Aug 2015
Conference number: 37
https://ieeexplore.ieee.org/xpl/conhome/7302811/proceeding

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2015-November
ISSN (Print)1557-170X

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15
Internet address

Keywords

  • multiscale principal component analysis (MSPCA)
  • accelerometry data
  • MTx sensors

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  • Cite this

    Pendharkar, G., Naik, G. R., Acharyya, A., & Nguyen, H. T. (2015). Multiscale PCA to distinguish regular and irregular surfaces using tri axial head and trunk acceleration signals. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4122-4125). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). IEEE. https://doi.org/10.1109/EMBC.2015.7319301