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 language | English |
|---|---|
| Title of host publication | ECCE '25 |
| Subtitle of host publication | Proceedings of the 36th Annual Conference of the European Association of Cognitive Ergonomics (EACE) |
| Publisher | Association for Computing Machinery |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798400720338 |
| ISBN (Print) | 9798400720338 |
| DOIs | |
| Publication status | Published - 6 Oct 2025 |
| Event | ECCE 2025: 36th Annual Conference of the European Association of Cognitive Ergonomics - Tallinn, Estonia Duration: 7 Oct 2025 → 10 Oct 2025 https://transform.tlu.ee/ecce-2025/ |
Publication series
| Name | Proceedings of the 36th Annual Conference of the European Association of Cognitive Ergonomics |
|---|---|
| Publisher | ACM |
Conference
| Conference | ECCE 2025 |
|---|---|
| Country/Territory | Estonia |
| City | Tallinn |
| Period | 7/10/25 → 10/10/25 |
| Internet address |
Keywords
- ambulation
- motion capture
- walking analysis
- red sneakers
- red trainers