GaitKeeper: An AI-Enabled Mobile Technology to Standardize and Measure Gait Speed.

Journal: Sensors (Basel, Switzerland)
PMID:

Abstract

Gait speed is increasingly recognized as an important health indicator. However, gait analysis in clinical settings often encounters inconsistencies due to methodological variability and resource constraints. To address these challenges, GaitKeeper uses artificial intelligence (AI) and augmented reality (AR) to standardize gait speed assessments. In laboratory conditions, GaitKeeper demonstrates close alignment with the Vicon system and, in clinical environments, it strongly correlates with the Gaitrite system. The integration of a cloud-based processing platform and robust data security positions GaitKeeper as an accurate, cost-effective, and user-friendly tool for gait assessment in diverse clinical settings.

Authors

  • Naomi Davey
    Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
  • Gillian Harte
    Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
  • Aidan Boran
    Insight Centre, Dublin City University, Collins Ave Ext, Whitehall, 9 Dublin, Ireland.
  • Paul Mc Elwaine
    Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
  • Seán P Kennelly
    Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland.