A smart sensing platform for the classification of ambulatory patterns

M.T. Elliott, Xianghong Ma, Peter N. Brett

Research output: Contribution to journalArticle

Abstract

This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with advantages that include mechanical simplicity and less restriction on dimensions. The scope of the work is to investigate as an experiment the sensitivity of the distributive tactile sensing method with the potential to address flexibility on gait assessment, including patient targeting and the extension to a variety of ambulatory applications. Using infrared sensors to measure plate deflection, gait patterns are compared with stored templates using a pattern recognition algorithm. This information is input into a neural network to classify normal and affected walking events, with a classification accuracy of just under 90 per cent achieved. The system developed has potential applications in gait analysis and rehabilitation, whereby it can be used as a tool for early diagnosis of walking disorders or to determine changes between pre- and post-operative gait.
Original languageEnglish
Pages (from-to)567-575
Number of pages9
JournalProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
Volume223
Issue number5
DOIs
Publication statusPublished - 1 Jul 2009

Fingerprint

Gait
Gait analysis
Walking
Patient rehabilitation
Pattern recognition
Infrared radiation
Neural networks
Sensors
Touch
Experiments
Early Diagnosis
Rehabilitation

Keywords

  • gait classification
  • force plates
  • distributive tactile sensing
  • gait analysis
  • neural networks
  • pattern recognition

Cite this

@article{d8ef693bab9f40ccad4e64a44f5ff3f4,
title = "A smart sensing platform for the classification of ambulatory patterns",
abstract = "This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with advantages that include mechanical simplicity and less restriction on dimensions. The scope of the work is to investigate as an experiment the sensitivity of the distributive tactile sensing method with the potential to address flexibility on gait assessment, including patient targeting and the extension to a variety of ambulatory applications. Using infrared sensors to measure plate deflection, gait patterns are compared with stored templates using a pattern recognition algorithm. This information is input into a neural network to classify normal and affected walking events, with a classification accuracy of just under 90 per cent achieved. The system developed has potential applications in gait analysis and rehabilitation, whereby it can be used as a tool for early diagnosis of walking disorders or to determine changes between pre- and post-operative gait.",
keywords = "gait classification, force plates, distributive tactile sensing, gait analysis, neural networks, pattern recognition",
author = "M.T. Elliott and Xianghong Ma and Brett, {Peter N.}",
year = "2009",
month = "7",
day = "1",
doi = "10.1243/09544119JEIM523",
language = "English",
volume = "223",
pages = "567--575",
journal = "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine",
issn = "0954-4119",
publisher = "SAGE",
number = "5",

}

A smart sensing platform for the classification of ambulatory patterns. / Elliott, M.T.; Ma, Xianghong; Brett, Peter N.

In: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, Vol. 223, No. 5, 01.07.2009, p. 567-575.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A smart sensing platform for the classification of ambulatory patterns

AU - Elliott, M.T.

AU - Ma, Xianghong

AU - Brett, Peter N.

PY - 2009/7/1

Y1 - 2009/7/1

N2 - This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with advantages that include mechanical simplicity and less restriction on dimensions. The scope of the work is to investigate as an experiment the sensitivity of the distributive tactile sensing method with the potential to address flexibility on gait assessment, including patient targeting and the extension to a variety of ambulatory applications. Using infrared sensors to measure plate deflection, gait patterns are compared with stored templates using a pattern recognition algorithm. This information is input into a neural network to classify normal and affected walking events, with a classification accuracy of just under 90 per cent achieved. The system developed has potential applications in gait analysis and rehabilitation, whereby it can be used as a tool for early diagnosis of walking disorders or to determine changes between pre- and post-operative gait.

AB - This paper describes an innovative sensing approach allowing capture, discrimination, and classification of transients automatically in gait. A walking platform is described, which offers an alternative design to that of standard force plates with advantages that include mechanical simplicity and less restriction on dimensions. The scope of the work is to investigate as an experiment the sensitivity of the distributive tactile sensing method with the potential to address flexibility on gait assessment, including patient targeting and the extension to a variety of ambulatory applications. Using infrared sensors to measure plate deflection, gait patterns are compared with stored templates using a pattern recognition algorithm. This information is input into a neural network to classify normal and affected walking events, with a classification accuracy of just under 90 per cent achieved. The system developed has potential applications in gait analysis and rehabilitation, whereby it can be used as a tool for early diagnosis of walking disorders or to determine changes between pre- and post-operative gait.

KW - gait classification

KW - force plates

KW - distributive tactile sensing

KW - gait analysis

KW - neural networks

KW - pattern recognition

UR - http://www.scopus.com/inward/record.url?scp=67650700367&partnerID=8YFLogxK

UR - http://pih.sagepub.com/content/223/5/567

U2 - 10.1243/09544119JEIM523

DO - 10.1243/09544119JEIM523

M3 - Article

VL - 223

SP - 567

EP - 575

JO - Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

JF - Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

SN - 0954-4119

IS - 5

ER -