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Design and Analysis for Fall Detection System Simplification
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Increasing fall risk awareness using wearables: A fall risk awareness protocol.

Asbjørn Danielsen1, Hans Olofsen1, Bernt Arild Bremdal1

  • 1UiT - The Arctic University of Norway, Norway.

Journal of Biomedical Informatics
|August 22, 2016
PubMed
Summary

Elderly falls are common, but preventable. This study identifies key data for fall risk assessment using wearable sensors, proposing a new protocol integrating wearables and ambient sensing for daily fall prevention.

Keywords:
Daily livingFall preventionFall prevention toolFall risk assessmentFall risk awareness protocolSensor fusionWearable sensors

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Computer Science

Background:

  • Approximately one-third of adults aged 65 and older experience falls annually.
  • Many falls in the elderly population are preventable with appropriate tools.
  • Existing fall risk assessment and prevention methods lack integration into daily living environments.

Purpose of the Study:

  • To identify essential information for fall risk assessment and prevention using wearable sensors in daily life.
  • To differentiate between prospective and context-aware fall risk assessment strategies.
  • To propose a novel fall prevention protocol.

Main Methods:

  • Systematic review of current research on wearable sensors for fall risk assessment.
  • Analysis of data requirements for prospective and context-aware fall risk assessment.
  • Development of a fall risk awareness protocol.

Main Results:

  • Identified critical data types for effective fall risk assessment using wearable technology.
  • Distinguished the nuances between prospective and context-aware approaches.
  • Proposed an integrated fall risk awareness protocol.

Conclusions:

  • Wearable sensors offer significant potential for daily fall risk assessment and prevention in the elderly.
  • An integrated approach combining wearable and ambient sensing enhances fall prevention efficacy.
  • The proposed protocol provides a framework for proactive fall risk management in daily living.