Contextualising free-living gait with computer vision

Jason Moore, Alan Godfrey*

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

Abstract

Gait assessment holds crucial significance in understanding the complexities of movement patterns, especially in the context of Parkinson's disease (PD). Its utility extends to the early diagnosis and continual monitoring of people with PD (PwPD). In recent years, research focus has intensified on employing inertial measurement units (IMUs) for gait analysis within the daily living of healthy individuals and PwPD. IMUs, with their capability to capture acceleration and angular velocity, play a pivotal role in recording subtle changes in gait dynamics, offering insights into the progression of PD and its impact on locomotion.
Original languageEnglish
Article number108065
Pages (from-to)1-2
Number of pages2
JournalMaturitas
Volume194
Early online date14 Jul 2024
DOIs
Publication statusPublished - 1 Mar 2025

Keywords

  • Cameras
  • Computer vision
  • Deep learning
  • Falls
  • Gait
  • Pervasive technologies
  • Wearables

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