Literature DB >> 23514332

Differentiating slip-induced falls from normal walking and successful recovery after slips using kinematic measures.

Xinyao Hu1, Xingda Qu.   

Abstract

Slip-induced falls are prevalent and serious in occupational settings. Fall detection can minimise the adverse consequences caused by falls. However, a limitation in the existing fall detection research is that the fall indicators were predetermined without any theoretical and experimental basis. This study aimed to determine the optimal fall indicators for fall detection research by experimentally examining a comprehensive set of kinematic measures. The body kinematic measures were compared among normal walking, successful recovery after slips and slip-induced falls. We identified the kinematic measures that differ between falls and the selected non-fall activities (i.e. successful recovery and normal walking), especially at the early stage of loss-of-balance due to slips. Findings obtained from this study can enhance the understanding of kinematic differences between slip-induced falls and non-fall activities, and such knowledge is particularly useful for developing fall detection models. PRACTITIONER
SUMMARY: Slips have been reported to be a major cause of accidental falls. Findings from this study can help determine the kinematic measures that can effectively and efficiently differentiate slip-induced falls from successful recovery and normal walking. Such knowledge can help develop effective strategies to prevent slip-induced falls.

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Year:  2013        PMID: 23514332     DOI: 10.1080/00140139.2013.776705

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  4 in total

1.  Development and evaluation of a prior-to-impact fall event detection algorithm.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  IEEE Trans Biomed Eng       Date:  2014-04-04       Impact factor: 4.538

Review 2.  State of science: occupational slips, trips and falls on the same level.

Authors:  Wen-Ruey Chang; Sylvie Leclercq; Thurmon E Lockhart; Roger Haslam
Journal:  Ergonomics       Date:  2016-03-30       Impact factor: 2.778

3.  Gait Speed with Anti-Slip Devices on Icy Pedestrian Crossings Relate to Perceived Fall-Risk and Balance.

Authors:  Agneta Larsson; Glenn Berggård; Peter Rosander; Gunvor Gard
Journal:  Int J Environ Res Public Health       Date:  2019-07-10       Impact factor: 3.390

Review 4.  Pre-impact fall detection.

Authors:  Xinyao Hu; Xingda Qu
Journal:  Biomed Eng Online       Date:  2016-06-01       Impact factor: 2.819

  4 in total

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