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Updated: Jun 27, 2026

Design and Analysis for Fall Detection System Simplification
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Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

How Algorithmic Technologies 'Constitute' the Older Body: A Study of Fall-Detection Wearables.

Geoffrey Mead1, Barbara B Neves1,2, Alex Broom1

  • 1Sydney Centre for Healthy Societies, School of Social and Political Sciences, The University of Sydney, Sydney, New South Wales, Australia.

Sociology of Health & Illness
|June 26, 2026
PubMed
Summary
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Wearable fall-detection technology constitutes older adults as fragmented, risky movements. This algorithmic approach overlooks the embodied and situated nature of falls in ageing bodies.

Area of Science:

  • Sociology of technology
  • Gerontology
  • Digital health

Background:

  • Ageing bodies are increasingly framed as 'problematic', driving demand for technological solutions.
  • Unintentional falls are a significant concern for older adults, leading to the development of interventions like wearable fall-detection technology.

Purpose of the Study:

  • To analyze how wearable fall-detection technology constitutes the ageing body.
  • To examine the contribution of algorithmic interventions to the cultural politics of ageing.

Main Methods:

  • Analysis of datasets containing movement and fall measurements used to train fall-detection algorithms.
  • Sociological examination of how individuals are represented within these datasets.

Main Results:

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Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults
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Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

Published on: October 25, 2024

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Last Updated: Jun 27, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults
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Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

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  • Individuals in datasets are fragmented into movements detached from their bodies and locations.
  • The ageing body is algorithmically constituted as a collection of risky, deviant movements.

Conclusions:

  • Current fall-detection technology constructs a decontextualized and potentially stigmatizing representation of older adults.
  • Algorithmic approaches may oversimplify the complex reality of ageing and falling.