Projects per year
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.
|Title of host publication||2018 IEEE Winter Conference on Applications of Computer Vision|
|Subtitle of host publication||WACV 2018|
|Number of pages||9|
|Publication status||Published - 3 May 2018|
- Computer vision
- background subtraction
- synergy maps
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
FingerprintDive into the research topics of 'Foot Contact Timings and Step Length for Sprint Training'. Together they form a unique fingerprint.
- 1 Finished
Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., McGuigan, P., O'Neill, E., Richardt, C., Salo, A., Seminati, E., Tabor, A. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council