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

Authors :
Naomi Davey
Gillian Harte
Aidan Boran
Paul Mc Elwaine
Seán P. Kennelly
Source :
Sensors, Vol 24, Iss 17, p 5550 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

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.

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
17
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.6bc94227d33b4abca7e3c792eb2b9def
Document Type :
article
Full Text :
https://doi.org/10.3390/s24175550