Automatic individual calibration in fall detection - an integrative ambulatory measurement framework

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

The objective of the current study was to demonstrate the utility of a new integrative ambulatory measurement (IAM) framework by developing and evaluating an individual calibration function in fall detection application. Ten healthy elderly persons were involved in a laboratory study and tested in a protocol comprising various types of activities of daily living and slip-induced backward falls. Inertial measurement units attached to the trunk and thigh segments were used to measure trunk angular kinematics and thigh accelerations. The effect of individual calibration was evaluated with previously developed fall detection algorithm. The results indicated that with individual calibration, the fall detection performance achieved approximately the same level of sensitivity (100% vs. 100%) and specificity (95.25% vs. 95.65%); however, response time was significantly lower than without (249 ms vs. 255 ms). It was concluded that the automatic individual calibration using the IAM framework improves the performance of fall detection, which has a greater implication in preventing/minimising injuries associated with fall accidents.

Original languageEnglish (US)
Pages (from-to)504-510
Number of pages7
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume16
Issue number5
DOIs
StatePublished - May 2013

Keywords

  • ambulatory measurement
  • fall detection
  • fall intervention
  • slips and falls

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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