Dr. Marcus Dunn BSc. MSc. PhD.

Dr Marcus Dunn is a research fellow at the Centre for Sports Engineering Research. His research focuses on the development of measurement systems (software and hardware) for biomechanical and performance analysis in representative settings. 

Prior to joining CSER, Marcus graduated from the University of Portsmouth with a first-class, BSc (hons) degree in Sport Science, where he was awarded the John Wiley and Sons Ltd. prize for 'Best Final Year Project'. Marcus then completed an MSc in Sport and Exercise Science at Sheffield Hallam University, specialising in sports biomechanics. Marcus went on to complete his PhD at Sheffield Hallam University in 2014. Marcus’ PhD was sponsored by the International Tennis Federation and developed a markerless, single camera system, capable of measuring player step and movement parameters in situ. The system allows the characterisation of player-surface interaction during match-play tennis. The system was used at the ATP World Tour Finals in London, with camera calibration and pattern recognition techniques further developed for other applications. 

Marcus developed non-invasive, biomechanical and performance analysis systems for the Sheffield Hallam University City Athletics Stadium project. Delivered in partnership with the National Centre for Sport and Exercise Medicine, the project delivered a state-of-the-art, elite sport technology demonstrator hub, for use by athletes, coaches and the public. The project was referenced in the Inspired by 2012: The legacy from the Olympic and Paralympic Games - a joint UK Government and Mayor of London report. In a clinical application of this work, Marcus developed a non-invasive, single camera gait analysis system for Sheffield Teaching Hospitals. The co-designed system allows clinicians to objectively assess the walking pattern of patients (e.g. neurological and/or vestibular disorders). The system was used alongside current practice and represents no additional burden to patients. 

Marcus has also worked extensively with commercial companies and international sports governing bodies to accurately assess electronic officiating systems. Using high-speed photogrammetry and camera calibration techniques, Marcus has worked with FIFA (via Labosport UK) to assess Goal-Line Technology systems used by the Premier League (UK), Erdivise (Dutch Football League), Ligue 1 (French Football League), the 2014 FIFA World Cup (Brazil) and the 2015 FIFA Club World Cup (Japan). Marcus has also worked with FIVB (via Labosport UK) to assess electronic officiating systems used in the 2016 FIVB Volleyball Women’s Club World Championships (Switzerland) and 2016 FIVB Beach Volleyball World Tour (Brazil). Most recently, Marcus has worked with FIFA (via Labosport UK) to assess the accuracy of video assistant referee (VAR) offside lines, which are projected into broadcast television images (Germany).

Marcus currently works with a variety partners, toward the application of biomechanical and performance analysis techniques in more representative settings. Current research projects include: non-invasive gait analysis (Vinco Sport, New Balance); non-invasive trampolining performance analysis (National Centre for Sport and Exercise Medicine); low-cost, three-dimensional measurement technologies in healthcare (Sheffield Children’s Hospital, Sheffield Physiotherapy); understanding injury risk related to wearable technologies in football (FIFA) and assessing participation within parkrun (Advanced Wellbeing Research Centre).

Areas of interest:

• Sports engineering
• Image and video-based performance analysis systems
• Camera calibration
• Sports biomechanics
• Gait analysis
• Programming (.NET / Matlab)

MSc Sports Engineering:

• Measurement Techniques in Sports Engineering and Biomechanics
• Innovation and Enterprise in Sports Engineering

Research centre:

• Centre for Sports Engineering Research (CSER)

Research theme groups:  

• CSER Applied Computing
• CSER Biomechanics

Current research projects: 

• Effects of running retraining on mechanics associated with lower-limb injury risk. Imaging technology to quantify return to sport following ACL reconstruction. 
• Non-invasive measurement of athletic step frequency using uncalibrated video. 
• Low-cost, three-dimensional measurement technologies in healthcare. Low-cost and non-invasive gait analysis for healthcare. Video-based player position tracking for tennis.  

Collaborators and sponsors: 

• International Tennis Federation 
• Fédération Internationale de Football Association  
• Catapult 
• New Balance Sheffield Physiotherapy  
• National Centre for Sport and Exercise Medicine 
• Advanced Wellbeing Research Centre (AWRC)

Key Publications

d'Andrea, F., Heller, B., James, D., Koerger, H., & Dunn, M. (2019). Ground reaction force estimation in football using inertial measurement units during alternate lateral bounding. Footwear Science, 11 (sup1), S77-S78. http://doi.org/10.1080/19424280.2019.1606087

Oudshoorn, B., Driscoll, H., Dunn, M., & James, D. (2018). Kinetic and kinematic analysis of stamping impacts during simulated rucking in rugby union. Journal of Sports Sciences, 36 (8), 914-919. http://doi.org/10.1080/02640414.2017.1346273

Dunn, M., Hart, J., & James, D. (2018). Wearing electronic performance and tracking system devices in Association Football: Potential injury scenarios and associated impact energies. Proceedings, 2 (6), 232-237. http://doi.org/10.3390/proceedings2060232

Dunn, M., Pavan, D., Ramirez, P., Rava, S., & Atiqah, S. (2018). An automated method to extract three-dimensional position data using an infrared time-of-flight camera. Proceedings, 2 (6), 502-207. http://doi.org/10.3390/proceedings2060502

Allen, T., Dixon, S., Dunn, M., & Knudson, D. (2018). Tennis Equipment and Technique Interactions on Risk of Overuse Injuries. In Di Giacomo, G., Ellenbecker, T., & Kibler, W. (Eds.) Tennis Medicine: A Complete Guide to Evaluation, Treatment, and Rehabilitation. (pp. 61-79). Springer: https://www.springer.com/gb/book/9783319714974

Chiu, C.-.Y., Pease, D.L., Fawkner, S., Dunn, M., & Sanders, R.H. (2018). Comparison of automated post-processing techniques for measurement of body surface area from 3D photonic scans. Computer methods in biomechanics and biomedical engineering, 7 (2), 227-234. http://doi.org/10.1080/21681163.2018.1492971

Dunn, M., Claxton, D., Fletcher, G., Wheat, J., & Binney, D. (2018). Effects of running retraining on biomechanical factors associated with lower limb injury. Human Movement Science, 58, 21-31. http://doi.org/10.1016/j.humov.2018.01.001

Driscoll, H., Hudson, C., Dunn, M., & Kelley, J. (2018). Image based stroke-rate detection system for swim race analysis. Proceedings, 2 (6), 286-292. http://doi.org/10.3390/proceedings2060286

Oudshoorn, B., Driscoll, H., Kilner, K., Dunn, M., & James, D. (2017). Prevalence of laceration injuries in professional and amateur rugby union: a systematic review and meta-analysis. BMJ Open Sport & Exercise Medicine, 3 (1), e000239. http://doi.org/10.1136/bmjsem-2017-000239

Oudshoorn, B., Driscoll, H., Dunn, M., Senior, T., & James, D. (2017). Development of a test method for assessing laceration injury risk of individual cleats during game-relevant loading conditions. Footwear Science, 10 (1), 1-10. http://doi.org/10.1080/19424280.2017.1403969

Dimitriadis, P., Dunn, M., & Ray, J. (2017). The role of non-invasive camera technology for gait analysis in patients with vestibular disorders. Presented at: IFOS (International Federation of Oto-Rhino-Laryngological Societies) World Congress, Paris, France, 2017

Oudshoorm, B.Y., Driscoll, H.F., Dunn, M., & James, D. (2017). Identifying representative test parameters to assess skin laceration injury risk for individual studs. Footwear Science, 9 (sup1), S29-S31. http://doi.org/10.1080/19424280.2017.1313904

Foster, L., Heller, B., Williams, A., Dunn, M., Curtis, D., & Goodwill, S. (2016). Development of smart inner city recreational facilities to encourage active living. In Garcia, C.R., Caballero-Gil, P., Burmester, M., & Quesada-Arencibia, A. (Eds.) Ubiquitous computing and ambient intelligence : 10th International Conference, UCAmI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29 – December 2, 2016, (pp. 458-468). Springer: http://doi.org/10.1007/978-3-319-48799-1_50

Oudshoorn, B., Driscoll, H.F., Dunn, M., & James, D. (2016). Causation events of stud laceration injuries in rugby union. Procedia Engineering, 147, 496-500. http://doi.org/10.1016/j.proeng.2016.06.227

Oudshoorn, B., Driscoll, H.F., Dunn, M., & James, D. (2016). Pressure sensor calibration for measuring stud-player impacts. Procedia Engineering, 147, 688-693. http://doi.org/10.1016/j.proeng.2016.06.273

Dunn, M., & Kelley, J. (2015). Non-invasive, spatio-temporal gait analysis for sprint running using a single camera. Procedia Engineering, 112, 528-533. http://doi.org/10.1016/j.proeng.2015.07.237

Dunn, M., Haake, S., Wheat, J., & Goodwill, S. (2014). Validation of a single camera, spatio-temporal gait analysis system. Procedia Engineering, 72, 243-248. http://doi.org/10.1016/j.proeng.2014.06.043

Dunn, M., Wheat, J., Miller, S., Haake, S., & Goodwill, S. (2012). Reconstructing 2D planar coordinates using linear and nonlinear techniques. In 30th Annual Conference of Biomechanics in Sports, Melbourne Australia, 2 July 2012 - 6 July 2012. http://w4.ub.uni-konstanz.de/cpa/issue/view/ISBS2012

Dunn, M., Goodwill, S., Wheat, J., & Haake, S. (2011). Assessing tennis player interactions with tennis courts. Portuguese Journal of Sport Sciences, 11 (Supp.2), 859-862.

Conference papers

Chiu, C.-.Y., Thelwell, M., Goodwill, S., & Dunn, M. (2020). Accuracy of Anthropometric Measurements by a Video-based 3D Modelling Technique. In CMBBE 2019 Conference Proceedings, New York, NY, USA, 14 August 2019 - 16 August 2019. Springer: http://doi.org/10.1007/978-3-030-43195-2

Book chapters

Chiu, C.Y., Thelwell, M., Goodwill, S., & Dunn, M. (2020). Accuracy of Anthropometric Measurements by a Video-Based 3D Modelling Technique. In Lecture Notes in Computational Vision and Biomechanics. (pp. 354-361). http://doi.org/10.1007/978-3-030-43195-2_29

Other publications

Hart, J., Dunn, M., & James, D. (2018). Handbook of test methods for wearable EPTS devices. FIFA: https://football-technology.fifa.com/media/171884/test-manual-epts-wearables-v1_6.pdf

Current supervised PhD students: 

• de' Andrea, F. The effect of hybrid turf on player movement in football
• Oudshoorn, B. Y. Influence of stud design on laceration injury risk in field sports.  
• Rowley, L. J. The effect of step strategy on the clearance of the first hurdle.

Dr Marcus Dunn is a research fellow at the Centre for Sports Engineering Research. His research focuses on the development of measurement systems (software and hardware) for biomechanical and performance analysis in representative settings. Marcus has worked with international sports governing bodies, commercial companies and healthcare specialists, to develop bespoke measurement solutions, for use in more representative settings. In addition to his research, Marcus leads the MSc Sports Engineering module ‘Measurement Techniques in Sports Engineering and Biomechanics’ and supervises several PhD students.  

The Centre for Sports Engineering Research (CSER) is led by Dr David James. It is the world's largest academic group in sports engineering and an internationally renowned centre of excellence for research and knowledge transfer. The centre's work is based on four research disciplines; applied computing, biomechanics, design engineering, and skill acquisition. In each area, researchers develop fundamental knowledge and deliver applied solutions to enhance athletic performance, reduce injury and promote physical activity. 

CSER works in partnership with many sport, health and commercial organisations. We are immensely proud of our work with Team GB Olympic, and Paralympic athletes, and we enjoy research partnerships with global organisations such as the International Tennis Federation, FIFA, and Adidas.

Areas of expertise:

• Sports engineering
• Goal-line technology
• Camera calibration 
• Biomechanics
• Gait analysis

Notable media coverage:

• BBC Radio Sheffield, UK
• KPMG Early Edition, Newstalk ZB, Auckland NZ.