Just find it: The Mymo approach to recommend running shoes

Young, Fraser, Coulby, Graham, Watson, Ian, Downs, Craig, Stuart, Sam and Godfrey, Alan (2020) Just find it: The Mymo approach to recommend running shoes. IEEE Access, 8. pp. 109791-109800. ISSN 2169-3536

Preview	Text 09115589.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (8MB) | Preview
Preview	Text Final_Article.pdf - Accepted Version Download (1MB) | Preview

Abstract

Wearing inappropriate running shoes may lead to unnecessary injury through continued strain upon the lower extremities; potentially damaging a runner’s performance. Many technologies have been developed for accurate shoe recommendation, which centre on running gait analysis. However, these often require supervised use in the laboratory/shop or exhibit too high a cost for personal use. This work addresses the need for a deployable, inexpensive product with the ability to accurately assess running shoe-type recommendation. This was achieved through quantitative analysis of the running gait from 203 individuals through use of a tri-axial accelerometer and tri-axial gyroscope-based wearable (Mymo). In combination with a custom neural network to provide the shoe-type classifications running within the cloud, we experience an accuracy of 94.6 in classifying the correct type of shoe across unseen test data.

Actions (login required)

View Item

Downloads