Change analysis for gait impairment quantification in smart environments

A. Salaheldin, M. Elsayed, A. Alsebai, N. El Gayar, M. Elhelw

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

1 Citation (Scopus)

Abstract

Visual Sensor Networks (VSNs) open up a new realm of smart autonomous applications based on enhanced three- dimensional sensing and collaborative reasoning. An emerging VSN application domain is pervasive healthcare delivery where gait information computed from distributed vision nodes is used for observing the wellbeing of the elderly, quantifying post-operative patient recovery and monitoring the progression of neurodegenerative diseases such as Parkinson's. The development of patient-specific gait analysis models, however, is challenging since it is unfeasible to obtain normal and impaired gait examples from the same patient before the operation in order to build supervised models for gait classification. This paper presents a novel VSN- based framework for quantification of patient-specific gait impairment and post-operative recovery by using change analysis. Real-time target extraction is first applied to VSN data and a skeletonization procedure is subsequently carried out to quantify the internal motion of moving target and compute two features; spatiotemporal cyclic motion between leg segments and head trajectory for each vision node. Change analysis is then used to measure the change, i.e. difference, between two unlabeled datasets collected pre- and post-operatively and quantify gait changes. The potential value of the proposed framework for patient gait monitoring is demonstrated and the results obtained from practical experiments are described.

Original languageEnglish
Title of host publicationIEEE 2010 International Conference on Autonomous and Intelligent Systems (AIS)
PublisherIEEE
ISBN (Electronic)9781424471072
ISBN (Print)9781424471041
DOIs
Publication statusPublished - 12 Aug 2010
EventIEEE 2010 International Conference on Autonomous and Intelligent Systems - Povoa de Varzim, Portugal
Duration: 21 Jun 201023 Jun 2010

Conference

ConferenceIEEE 2010 International Conference on Autonomous and Intelligent Systems
Abbreviated titleAIS 2010
CountryPortugal
CityPovoa de Varzim
Period21/06/1023/06/10

Keywords

  • Change analysis
  • Human motion analysis
  • Machine intelligence
  • Patient-specific monitoring
  • Pervasive systems
  • Visual sensor networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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    Salaheldin, A., Elsayed, M., Alsebai, A., El Gayar, N., & Elhelw, M. (2010). Change analysis for gait impairment quantification in smart environments. In IEEE 2010 International Conference on Autonomous and Intelligent Systems (AIS) [5547026] IEEE. https://doi.org/10.1109/AIS.2010.5547026