Projects per year
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 primarily focussed on enhancing athletic performance in sports such as sprinting and skeleton. She is a co-investigator within 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. 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.
Research interests
- Motion analysis
- Biomechanics
- Sport performance enhancement
- Injury prevention
- Monitoring athletic development
Research projects
- Understanding the kinetic determinants of sprint running performance
- Technique-based factors related to push-start performance in skeleton
- 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
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Projects
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) - 2.0
Bilzon, J., Colyer, S. & McGuigan, P.
Engineering and Physical Sciences Research Council
1/11/20 → 31/10/25
Project: Research council
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Bilzon, J., Cazzola, D., Colyer, S., McGuigan, P., Salo, A., Seminati, E. & Tabor, A.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council
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IAA Implementation of a marker-less motion capture system for skeleton push-start performance analysis
Engineering and Physical Sciences Research Council
1/10/20 → 30/04/21
Project: Research council
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GW4-PATH: Perception and Attitudes of Technologies for Healthcare
Lasseter, G., Choi, H., Colyer, S., Grant, S., Pickles, T., Sauchelli, S., Sherlock, B., Voinescu, A. & Zhang, J.
1/09/19 → 30/04/20
Project: Research-related funding
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Inactivity rehabilitation and musculoskeletal modelling of the human body
Cazzola, D., Colyer, S., Cowburn, J., Minetti, A. E. & Pavei, G.
1/06/19 → 31/07/19
Project: Research-related funding
Research Output
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A Non-Invasive Vision-Based Approach to Velocity Measurement of Skeleton Training
Evans, M., Needham, L., Colyer, S. & Cosker, D., 16 Jun 2020, p. 888-889.Research output: Contribution to conference › Paper › peer-review
Open Access -
Differences in ground reaction waveforms between elite senior and junior academy sprinters during the block phase and first two steps
Graham-Smith, P., Colyer, S. & Salo, A., 1 Jun 2020, In: International Journal of Sports Science & Coaching. 15, 3, p. 418-427 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile44 Downloads (Pure) -
Performance and micro-pacing strategies in a classic cross-country skiing sprint race
Ihalainen, S., Colyer, S., Andersson, E. & McGawley, K., 26 Jun 2020, In: Frontiers in Sports And Active Living.Research output: Contribution to journal › Article › peer-review
Open Access -
The effect of biological maturity status on ground reaction force production during sprinting
Colyer, S., Nagahara, R., Takai, Y. & Salo, A., 1 Aug 2020, In: Scandanavian Journal of Medicine & Science in Sports. 30, 8, p. 1387-1397 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Using Computer Vision and Deep Learning Methods to Capture Skeleton Push Start Performance
Needham, L., Evans, M., Cosker, D. & Colyer, S., 2 Mar 2020.Research output: Contribution to conference › Abstract › peer-review
File22 Downloads (Pure)
Thesis
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Enhancing start performance in the sport of skeleton
Author: Colyer, S., 11 Jun 2015Supervisor: Salo, A. (Supervisor), Stokes, K. (Supervisor) & Bilzon, J. (Supervisor)
Student thesis: Doctoral Thesis › PhD
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