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phat 21(26): e4

Research Article

Non-obtrusive 3d body tracking for automated mobility assessment in independently living older persons. Results of a pilot trial

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  • @ARTICLE{10.4108/eai.4-3-2021.168863,
        author={J. Lumetzberger and T. M\'{y}nzer and M. Kampel},
        title={Non-obtrusive 3d body tracking for automated mobility assessment in independently living older persons. Results of a pilot trial},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={7},
        number={26},
        publisher={EAI},
        journal_a={PHAT},
        year={2021},
        month={3},
        keywords={gait speed, depth data, non-obtrusive mobility assessment, AAL, physiotherapist, privacy},
        doi={10.4108/eai.4-3-2021.168863}
    }
    
  • J. Lumetzberger
    T. Münzer
    M. Kampel
    Year: 2021
    Non-obtrusive 3d body tracking for automated mobility assessment in independently living older persons. Results of a pilot trial
    PHAT
    EAI
    DOI: 10.4108/eai.4-3-2021.168863
J. Lumetzberger1,*, T. Münzer2, M. Kampel1
  • 1: Computer Vision Lab, Vienna University of Technology, Favoritenstr. 9, 1040 Vienna, Austria
  • 2: Geriatrische Klinik St. Gallen, Rorschacher Str. 94, 9000 St. Gallen, Switzerland
*Contact email: jennifer.lumetzberger@tuwien.ac.at

Abstract

INTRODUCTION: With rising age, functional deficit and frequent falls may lead to long-term care admission. Mobility assessment tests can detect fall risk and may induce interventions that prevent a fall.

OBJECTIVES: To assess mobility of older persons using real time data and to compare these data with the mobility assessment of physiotherapists.

METHODS: 20 older people aged 74±5 (mean ± SD) were monitored over 10 months to investigate the performance of an automated mobility tracker. Physiotherapists performed periodic mobility assessments. Annotated 3d recordings served as ground truth data.

RESULTS: High correlation (r=0.684) of annotated and tracked gait speed was found. The mean absolute error is 0.16 m/s.

CONCLUSION: 3D mobility trackers can be used to collect long-term mobility data. Since changes in mobility might indicate functional decline, long-term tracking allows to react to changes in mobility. Such a technology may have essential medical and social value.

Keywords
gait speed, depth data, non-obtrusive mobility assessment, AAL, physiotherapist, privacy
Received
2020-07-08
Accepted
2021-02-23
Published
2021-03-04
Publisher
EAI
http://dx.doi.org/10.4108/eai.4-3-2021.168863

Copyright © 2021 J. Lumetzberger et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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