Gwyneth completed her Bachelor’s of Science with a specialization in Kinesiology at Queen’s University in the School of Kinesiology and Health Studies. She completed her Honour’s thesis entitled “A comparison of trunk muscle activation patterns between athletes with low back pain, resolved low back pain and no history of low back pain” under the supervision of Dr. Ryan Graham. She then continued her education at Queen’s University completing her Master’s of Science in Biomechanics under the co-supervision of Dr. Graham and Dr. Steven Fischer, for her thesis entitled “The application of principal component analysis as a movement recognition technique: A proof of principle”. Gwyneth is currently completing her PhD at the University of Ottawa under the supervision of Dr. Graham with a projected completion date of 2020. She has collaborated on projects with Dr. Paul Hodges (University of Queensland), Dr. Stephen H.M. Brown (University of Guelph), Dr. Brendan Gurd (Queen’s University), Dr. Nikolaus Troje (Queen’s University), Dr. Blaine Hoshizaki (University of Ottawa), and Motus Global (a company focused on advanced sport biomechanical analysis through wearable technology).

Gwyneth’s current research interests are focused on developing an inexpensive, data-driven framework to objectively assess and score movement quality. The framework consists of using an inexpensive motion capture system (Microsoft Kinects, accelerometers, IMUs, OpenPose), data reduction techniques (principal component analysis), and machine learning (neural networks, support vector machines).  

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Themes

• Movement quality and control

• Pattern recognition and machine learning

• Innovative assessment techniques

• Performance optimization

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Funding Sources

• Natural Sciences and Engineering Research Council (NSERC) PGS-D (2017-2020)

• University of Ottawa Excellence Scholarship (2016-2020)

• Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII – GSST; 2016-2017)

• University of Ottawa PhD Incentive (2016-2017)