Steffi Colyer


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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.

In 2015, Steffi was awarded the Postgraduate Free Communication Prize at the BASES student conference for her research.

Steffi commenced her current role as a Research Associate working within the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) in October 2015. In collaboration with the Department of Computer Science, CAMERA aims to develop advanced methods to track and analyse human motion without the need to attach markers. Her current role focusses on utilising these technologies to understand sporting techniques and enhance athlete performance.

Research interests

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

Research projects

  • The development of a markerless motion analysis tool to study sporting techniques

Centre for the Analysis of Motion, Entertainment Research and Applications

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Projects 2016 2019

Understanding musculoskeletal injury risk factors in sprinting activities

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


Project: Research-related fundingInternally Funded Research

Modelling of Sprinting

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


Project: Research-related funding

Research Output 2012 2018

Open Access
Sports medicine
Patient rehabilitation
Computer vision

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
Computer vision
1 Citations
Resistance Training
4 Citations
Track and Field
Biomechanical Phenomena
Linear Models
1 Citations
Open Access
Weights and Measures


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