Foot Contact Timings and Step Length for Sprint Training

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Abstract

The frequency and length of a runner's steps are fundamental aspects of their performance. Accurate measurement of these parameters can provide valuable feedback to coaching staff, particularly if regular measurement can be made and monitored over the course of a season. This paper presents a computer vision based approach using high framerate cameras to measure the location and timing of foot contacts from which step length and frequency can be determined. The approach is evaluated against force-plates and optical motion capture for a mix of 18 trained and recreational runners. Force-plates and optical motion capture are considered to be the current "gold-standard'' in biomechanics, and this is the first vision based paper to evaluate against these standards. Landing and take-off times were shown to be measurable to within 1.5 frames (at 180fps) and step length to within 1 cm.
Original languageEnglish
Title of host publication2018 IEEE Winter Conference on Applications of Computer Vision
Subtitle of host publicationWACV 2018
PublisherIEEE
Pages1652-1660
Number of pages9
ISBN (Electronic)9781538648865
DOIs
Publication statusPublished - 3 May 2018

Keywords

  • Computer vision
  • sports
  • timing
  • sprinting
  • background subtraction
  • synergy maps

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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