A Novel Smart Shoe Instrumented with Sensors for Quantifying Foot Placement and Clearance during Stair Negotiation

Malarvizhi Ram, Vasilios Baltzopoulos, Andy Shaw, Constantinos N. Maganaris, Jeff Cullen, Thomas O’Brien, Patryk Kot

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Trips and slips are significant causal perturbations leading to falls on stairs, especially in older people. The risk of a trip caused by a toe or heel catch on the step edge increases when clearance is small and variable between steps. The risk of a slip increases if the proportion of the foot area in contact with the step is reduced and variable between steps. To assess fall risk, these measurements are typically taken in a gait lab using motion-capture optoelectronic systems. The aim of this work was to develop a novel smart shoe equipped with sensors to measure foot placement and foot clearance on stairs in real homes. To validate the smart shoe as a tool for estimating stair fall risk, twenty-five older adults’ sensor-based measurements were compared against foot placement and clearance measurements taken in an experimental staircase in the lab using correlations and Bland–Altman agreement techniques. The results showed that there was a good agreement and a strong positive linear correlation for foot placement (r = 0.878, p < 0.000) and foot clearance (r = 0.967, p < 0.000) between sensor and motion analysis, offering promise for advancing the current prototype into a measurement tool for fall risk in real-life staircases.

Original languageEnglish
Article number9638
JournalSensors
Volume23
Issue number24
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Keywords

  • fall risk prediction
  • foot contact length
  • force sensitive resistor
  • wearable sensor insole

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