Related Experiment Video
Updated: Jun 13, 2025

Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
GaitKeeper: An AI-Enabled Mobile Technology to Standardize and Measure Gait Speed
Naomi Davey1,2, Gillian Harte1,3, Aidan Boran4,5
1Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
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.

