The Red Shoes 1: A Matlab method allowing one dorsal GoPro camera to track gait at 120 fps on a treadmill using the colour red: Work in Progress

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

In this work in progress, we describe a frugal and low-tech design for offline tracking of gait on a treadmill using a single GoPro video camera recording at 120 fps. The participant wears bright red athletic shoes and the camera is situated dorsally and above the ground line. Because this method produces most temporal variables (e.g. step times, single support times, double support times) and several spatial gait variables (e.g. stride lengths and step lengths), it can derive a range of variability measures such as stride time variability, step length variability and swing time asymmetry, which are otherwise unavailable without expensive gait equipment. This method will help to tease apart the relationship between neurodiversity (e.g. ADHD, autism, and Tourette syndrome), joint hypermobility, and their effects on gait.
Original languageEnglish
Title of host publicationECCE '25
Subtitle of host publicationProceedings of the 36th Annual Conference of the European Association of Cognitive Ergonomics (EACE)
PublisherAssociation for Computing Machinery
Pages1-5
Number of pages5
ISBN (Electronic)9798400720338
ISBN (Print)9798400720338
DOIs
Publication statusPublished - 6 Oct 2025
EventECCE 2025: 36th Annual Conference of the European Association of Cognitive Ergonomics - Tallinn, Estonia
Duration: 7 Oct 202510 Oct 2025
https://transform.tlu.ee/ecce-2025/

Publication series

NameProceedings of the 36th Annual Conference of the European Association of Cognitive Ergonomics
PublisherACM

Conference

ConferenceECCE 2025
Country/TerritoryEstonia
CityTallinn
Period7/10/2510/10/25
Internet address

Keywords

  • ambulation
  • motion capture
  • walking analysis
  • red sneakers
  • red trainers

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