• STV 1.306

20122019
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Personal profile

Research interests

Steffi completed both her undergraduate degree (BSc Sport and Exercise Science) and her PhD at the University of Bath. 

In collaboration with UK Sport and British Skeleton, her PhD project was focussed on enhancing start performance in the winter sport of skeleton and was conducted in the lead up to the 2014 Winter Olympic Games in Sochi. Her thesis focussed on understanding the determinants of elite skeleton start performance to inform training and coaching practices, and to ultimately improve chances of medal success.

Steffi's research is now primarily focussed on sprint performance and the associated hamstring strain injury risk factors. Additionally, Steffi is co-supervising a project funded by the European Space Agency to better understand the laod experienced when performing movements in low gravity situations. Steffi is part of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), which is a collaboration between the Department for Health and Department of Computer Science. CAMERA aims to develop advanced methods to track and analyse human motion without the need to attach markers.

Research interests

  • Motion analysis
  • Biomechanics
  • Sport performance enhancement
  • Injury prevention
  • Monitoring athletic development

Research projects

  • Understanding the kinetic determinants of sprint running performance
  • The development of a markerless motion analysis tool to study sporting techniques
  • Musculoskeletal modelling of sprint running
  • Understanding hamstring strain injury risk factors
  • Musculoskeletal modelling of biomechanical loading in simulated gravity situations for rehabilitation programmes

Centre for the Analysis of Motion, Entertainment Research and Applications

View a film about our new CAMERA research centre

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Projects 2016 2019

Understanding musculoskeletal injury risk factors in sprinting activities

Salo, A., Cazzola, D. & Colyer, S.

3/10/1630/09/19

Project: Research-related fundingInternally Funded Research

Modelling of Sprinting

Salo, A., Cazzola, D. & Colyer, S.

3/10/1630/09/19

Project: Research-related funding

Research Output 2012 2019

SPRINTING DATA-TRACKING SIMULATION: A DIRECT COLLOCATION APPROACH

Haralabidis, N., Serrancoli, G., Colyer, S., Bezodis, I., Salo, A. & Cazzola, D., 10 Apr 2019.

Research output: Contribution to conferencePaper

Open Access
File
Open Access
Sports medicine
Patient rehabilitation
Computer vision
Kinematics
Biomechanics

Changes in sprint start performance due to variation in block pedal angles on non-experienced, but coached participants

Salo, A., Colyer, S., Sheppard, J. & Okkonen, O-M., Sep 2018, Proceedings of the 36th International Conference on Biomechanics in Sports. Auckland University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Tendons
Muscle

Foot Contact Timings and Step Length for Sprint Training

Evans, M., Colyer, S., Cosker, D. & Salo, A., 3 May 2018, 2018 IEEE Winter Conference on Applications of Computer Vision: WACV 2018. IEEE, p. 1652-1660 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Biomechanics
Takeoff
Landing
Computer vision
Gold
1 Citation (Scopus)

How sprinters accelerate beyond the velocity plateau of soccer players: waveform analysis of ground reaction forces

Colyer, S., Nagahara, R., Takai, Y. & Salo, A., 7 Nov 2018, In : Scandinavian Journal of Medicine and Science in Sports. 28, 12, 9 p.

Research output: Contribution to journalArticle

Soccer
Resistance Training
Athletes

Thesis

Enhancing start performance in the sport of skeleton

Author: Colyer, S., 11 Jun 2015

Supervisor: Salo, A. (Supervisor), Stokes, K. (Supervisor) & Bilzon, J. (Supervisor)

Student thesis: Doctoral ThesisPhD

File