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.
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.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
The University offers the following levels of support:
Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £18,000 (tbc) maintenance grant 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.
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.
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.
Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £8,000 maintenance grant 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.
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.
Fees only award (PhD fees + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees 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.
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.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (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.
Due consideration should be given to financing your studies. Further information on cost of living
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.
Submission deadline
Monday 27 February 2023
04:00PM
Interview Date
mid-April 2023
Preferred student start date
18 September 2023
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