PhD Study : Computer Vision and Deep Learning during Sport Collisions

Apply and key information  

Summary

Injuries are a major problem in sport. We aim to understand the forces applied to the human body during injury events in sport, and how this canbe prevented based on biomechanical factors such as speed, player orientation and technique. Concussion in rugby will be used as a test case in the project, though the methods can be applied to any sports injury, such as ankle sprain and ACL rupture.

The principal objective is to combine head kinematic data (available from wearable sensors) and player whole-body configurations (extracted from video using computer vision approaches) with computational modelling (forward dynamics multibody and finite element models) to understand how player impact forces depend on player configurations at the instant of injury in sport. A unique wearable sensor dataset (instrumented mouthguards) involving elite men’s and women’s rugby teams will be available. Multi-camera view video footage from these games will be used to drive state-of-the-art human pose estimation algorithms for tackler and ball-carrier whole-body configurations before, during and after collision events. We will map the relationship between the measured sensor data and the player speed and poses for concussive and non-injury control cases. These human pose estimates will also be used to configure computational collision models and permit the evaluation of “what if” scenarios to address the likely effects of altered player posture and speed on subsequent collision force and injury probability, thus informing injury prevention strategies.

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

  • Experience using research methods or other approaches relevant to the subject domain
  • Sound understanding of subject area as evidenced by a comprehensive research proposal
  • A comprehensive and articulate personal statement

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 65%
  • Work experience relevant to the proposed project
  • Publications - peer-reviewed

Funding and eligibility

The University offers the following levels of support:

Vice Chancellors Research Studentship (VCRS)

The following scholarship options are available to applicants worldwide:

  • Full Award: (full-time tuition fees + £19,000 (tbc))
  • Part Award: (full-time tuition fees + £9,500)
  • Fees Only Award: (full-time tuition fees)

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Please note: you will automatically be entered into the competition for the Full Award, unless you state otherwise in your application.

Department for the Economy (DFE)

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

  • Candidates with pre-settled or settled status under the EU Settlement Scheme, who also satisfy a three year residency requirement in the UK prior to the start of the course for which a Studentship is held MAY receive a Studentship covering fees and maintenance.
  • Republic of Ireland (ROI) nationals who satisfy three years’ residency in the UK prior to the start of the course MAY receive a Studentship covering fees and maintenance (ROI nationals don’t need to have pre-settled or settled status under the EU Settlement Scheme to qualify).
  • Other non-ROI EU applicants are ‘International’ are not eligible for this source of funding.
  • Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Due consideration should be given to financing your studies. Further information on cost of living

Recommended reading

Blythman, R., Saxena, M., Tierney, G.J., Richter, C., Smolic, A., & Simms, C. (2022) Assessment of deep learning pose estimates for sports collision tracking, Journal of Sports Science, EPub ahead of Print.

Gildea, Kevin & Mercadal Baudart, Clara & Blythman, Richard & Smolic, Aljosa & Simms, Ciaran. (2022). KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints. 10.48550/arXiv.2207.12841.

Tierney, G.J., Joodaki, H., Krosshaug, T., Forman, J.L., Crandall, J.R., & Simms, C.K. (2018). Assessment of model-based image-matching for future reconstruction of unhelmeted sport head impact kinematics. Sports Biomechanics, 17(1), 33-47.

Tooby, J., Weaving, D., Al-Dawoud, M., & Tierney, G.J. (2022). Quantification of Head Acceleration Events in Rugby League: An Instrumented Mouthguard and Video Analysis Pilot Study. Sensors, 22(2), 584.

Tierney, G.J. (2022). Concussion biomechanics, head acceleration exposure and brain injury criteria in sport: A review. Sports Biomechanics. EPub ahead of Print.

Tierney, G.J., & Simms, C.K. (2019). Predictive capacity of the MADYMO multibody human body model applied to head kinematics during rugby union tackles. Applied Sciences, 9(4), 726.

The Doctoral College at Ulster University

Key dates

Submission deadline
Monday 27 February 2023
04:00PM

Interview Date
mid-April 2023

Preferred student start date
18 September 2023

Applying

Apply Online  

Contact supervisor

Dr Gregory Tierney

Other supervisors