Sway Risk Analysis Based on Age Group Classification

Hafsa Ismail, Ibrahim Radwan, Hanna Suominen, Gordon Waddington, Roland Goecke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Human postural sway is the horizontal movement, which is generated to control a person's balance while walking or standing. Changes in postural sway patterns are a reflection of changes in brain signals and in physical health affected by a person's aging process. This increases the likelihood of falling. In this paper, we propose a method to estimate the age groups of elderly people based on the extracted sway measurements. These measurements are computed based on learning the postural sway signal from video footage only. Then, we use the person's real age and the estimated age group to define a risk of a fall for the elderly people becoming more likely. This may lead to an early intervention and help them to prevent serious falls or injuries by putting countermeasures in place, e.g. physical exercise regimes. The conducted experiments show the reliability of the proposed method to produce a risk analysis tool for elderly based on their estimated sway signals.

    Original languageEnglish
    Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages392-398
    Number of pages7
    ISBN (Electronic)9781538613115
    DOIs
    Publication statusPublished - Jul 2019
    Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
    Duration: 23 Jul 201927 Jul 2019

    Publication series

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

    Conference

    Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
    Country/TerritoryGermany
    CityBerlin
    Period23/07/1927/07/19

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