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EXPLORING THE RELATIONSHIP BETWEEN
PREDICTED GROUND REACTION FORCES AND
RUNNING INJURIES USING MACHINE LEARNING
ON MOTIONMETRIX DATA
ABSTRACT
RESEARCH BACKGROUND
Running is a popular activity that often results in overuse injuries, particularly to the
lower back and lower limbs. It has been noted in previous studies that many variables
can cause running injuries, but it has not been evaluated whether statistical models can
LO LAI HANG be used to forecast injuries. It is important to develop an effective statistical model and
provide important features for preventing running injuries.
BSocSc (Hons) in Sports and METHODOLOGY
Recreation Management Machine learning algorithms including SVM, random forest, and XGBOOST, will
Department of Sport and Recreation
be used in the study. By using machine learning algorithms, the dataset combines
MotionMetrix data, clinical test data, and survey. The machine learning algorithms will
predict the important features and mean accuracy, F1 scores, and Auc scores.
OBJECTIVES FINDINGS
According to the results, XGBOOST is the most accurate model, and the mean accuracy
The purpose of the study is to utilize is 0.63. The result also found that rearfoot strike pattern, hip abduction strength,
machine learning algorithms on body fat%, weekly distance, and vertical forces were the most important features for
MotionMetrix data to explore the predicting running injury.
relationship between predicted ground ABOUT THE INVESTIGATOR
reaction forces (GRF) and running
injuries. Moreover, the study serves
as a means of developing a predictive I have been participating in track and field for 12 years. I am interested in participating
model based on GRF that can predict in various sports such as football, basketball, and badminton. Also, I am interested
the likelihood and severity of running in exploring the relationship between biomechanics and injury because the problem-
solving process attracts me. In the future, I wish to become a physiotherapist to help
injuries accurately and contributes to more athletes recover from injury and improve their sports performance. Furthermore,
the advancement of injury prevention I hope to educate the appropriate injury prevention strategies for next-generation
measures. athletes through my experience.
The name of my supervisor: Mr Indy HO Man Kit.
64 Student Applied Research Presentations 2024 Student Applied Research Presentations 2024
