Abstract

The aim of this study was to assess whether clustering runners based on their technique resulted in consistent group allocations across multiple speeds. Eighty-four runners (34 females) completed four 4-minute running stages at 10, 11, 12 and 13 km/h. For each stage, running technique was characterised using a set of continuous variables in the sagittal plane and discrete stride-based variables. An autoencoder neural network was used for dimensionality reduction and agglomerative hierarchical clustering was applied to identify groups of runners with a similar technique. Two clusters for each speed were selected and the clustering partitions at different incremental speeds were compared. Our results showed that partitions were inconsistent across speeds, and therefore clustering results at one single speed do not generalise to the range of speeds an athlete typically runs at. Single speed clustering may be limited to drive the design of cluster-specific running training interventions and different clustering approaches are needed to better capture runners’ technique at their typical speeds.
Original languageEnglish
Title of host publicationISBS Proceedings Archives
Subtitle of host publication41th International Conference on Biomechanics in Sports (2023) Milwaukee, USA, July 12-16, 2023
PublisherInternational Society of Biomechanics in Sports (ISBS)
Number of pages4
Volume41
Edition1
Publication statusPublished - 12 Jul 2023
EventInternational Society of Biomechanics in Sports - Marquette University, Milwaukee, USA United States
Duration: 12 Jul 202316 Jul 2023

Conference

ConferenceInternational Society of Biomechanics in Sports
Country/TerritoryUSA United States
CityMilwaukee
Period12/07/2316/07/23

Bibliographical note

ISBS Proceedings Archive: Vol. 41 : Iss. 1. 41st International Conference on Biomechanics in Sports (2021) Milwaukee, USA, July 12-16, 2023

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