The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress

Rachael E. Hollands; Mimi Porter; Jessica A. Eccles; Thanaporn Tunprasert; Harry J. Witchel

doi:10.1145/3822301.3822347

The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress

Rachael E. Hollands
, Mimi Porter
, Jessica A. Eccles
, Thanaporn Tunprasert
, Harry J. Witchel

School of Education, Sport and Health

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

In this work in progress, we elucidate further progress using a low-tech and frugal design for offline tracking of gait on a treadmill using a single dorsally-situated GoPro video camera recording at 240 fps. Our participants wore brightly coloured athletic shoes (one red, one green) and three LEDs on their back. This method can derive a range of variability measures such as stance time asymmetry and step time variability; these are typically unavailable without a costly gait lab work up. This approach may aid in teasing apart subtle gait changes linked to joint hypermobility and its effects on gait.

Original language	English
Title of host publication	ECCE '26
Subtitle of host publication	Proceedings of the 2026 European Conference on Cognitive Ergonomics
Publisher	Association for Computing Machinery
Pages	339-345
Number of pages	7
ISBN (Print)	9798400725159
DOIs	https://doi.org/10.1145/3822301.3822347
Publication status	Published - 15 Sept 2026
Event	The European Conference on Cognitive Ergonomics - Sienna, Italy Duration: 15 Sept 2026 → 18 Sept 2026 https://ecce2026.unisi.it/

Conference

Conference	The European Conference on Cognitive Ergonomics
Abbreviated title	ECCE26
Country/Territory	Italy
City	Sienna
Period	15/09/26 → 18/09/26
Internet address	https://ecce2026.unisi.it/

Keywords

Ambulation
Motion capture
Walking analysis
Red sneakers
Green trainers

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10.1145/3822301.3822347Licence: CC BY

3822301.3822347Final published version, 3.26 MBLicence: CC BY

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Hollands, R. E., Porter, M., Eccles, J. A., Tunprasert, T., & Witchel, H. J. (2026). The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress. In ECCE '26: Proceedings of the 2026 European Conference on Cognitive Ergonomics (pp. 339-345). Association for Computing Machinery. https://doi.org/10.1145/3822301.3822347

@inproceedings{ee2e02d4f43348c0925163852f68ae58,

title = "The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress",

abstract = "In this work in progress, we elucidate further progress using a low-tech and frugal design for offline tracking of gait on a treadmill using a single dorsally-situated GoPro video camera recording at 240 fps. Our participants wore brightly coloured athletic shoes (one red, one green) and three LEDs on their back. This method can derive a range of variability measures such as stance time asymmetry and step time variability; these are typically unavailable without a costly gait lab work up. This approach may aid in teasing apart subtle gait changes linked to joint hypermobility and its effects on gait.",

keywords = "Ambulation, Motion capture, Walking analysis, Red sneakers, Green trainers",

author = "Hollands, \{Rachael E.\} and Mimi Porter and Eccles, \{Jessica A.\} and Thanaporn Tunprasert and Witchel, \{Harry J.\}",

year = "2026",

month = sep,

day = "15",

doi = "10.1145/3822301.3822347",

language = "English",

isbn = "9798400725159",

pages = "339--345",

booktitle = "ECCE '26",

publisher = "Association for Computing Machinery",

note = "The European Conference on Cognitive Ergonomics, ECCE26 ; Conference date: 15-09-2026 Through 18-09-2026",

url = "https://ecce2026.unisi.it/",

}

Hollands, RE, Porter, M, Eccles, JA, Tunprasert, T & Witchel, HJ 2026, The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress. in ECCE '26: Proceedings of the 2026 European Conference on Cognitive Ergonomics. Association for Computing Machinery, pp. 339-345, The European Conference on Cognitive Ergonomics, Sienna, Italy, 15/09/26. https://doi.org/10.1145/3822301.3822347

The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress. / Hollands, Rachael E.; Porter, Mimi; Eccles, Jessica A. et al.
ECCE '26: Proceedings of the 2026 European Conference on Cognitive Ergonomics. Association for Computing Machinery, 2026. p. 339-345.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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AU - Hollands, Rachael E.

AU - Porter, Mimi

AU - Eccles, Jessica A.

AU - Tunprasert, Thanaporn

AU - Witchel, Harry J.

PY - 2026/9/15

Y1 - 2026/9/15

N2 - In this work in progress, we elucidate further progress using a low-tech and frugal design for offline tracking of gait on a treadmill using a single dorsally-situated GoPro video camera recording at 240 fps. Our participants wore brightly coloured athletic shoes (one red, one green) and three LEDs on their back. This method can derive a range of variability measures such as stance time asymmetry and step time variability; these are typically unavailable without a costly gait lab work up. This approach may aid in teasing apart subtle gait changes linked to joint hypermobility and its effects on gait.

AB - In this work in progress, we elucidate further progress using a low-tech and frugal design for offline tracking of gait on a treadmill using a single dorsally-situated GoPro video camera recording at 240 fps. Our participants wore brightly coloured athletic shoes (one red, one green) and three LEDs on their back. This method can derive a range of variability measures such as stance time asymmetry and step time variability; these are typically unavailable without a costly gait lab work up. This approach may aid in teasing apart subtle gait changes linked to joint hypermobility and its effects on gait.

KW - Ambulation

KW - Motion capture

KW - Walking analysis

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KW - Green trainers

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DO - 10.1145/3822301.3822347

M3 - Conference contribution with ISSN or ISBN

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BT - ECCE '26

PB - Association for Computing Machinery

Y2 - 15 September 2026 through 18 September 2026

ER -

The Red Shoes 2: Methodology with one dorsal GoPro camera to track gait at 240 fps using red and green shoes: Work in Progress

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Keywords

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