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Full-Text Articles in Sports Sciences
Development Of Standard Criteria To Evaluate The Effectiveness Of Helmets At Decreasing The Risk Of Concussions, Daniel Y. Shyu, Goutham N. Sankaran, Kevin G. Mciver, Nicolas Leiva, Eric A. Nauman
Development Of Standard Criteria To Evaluate The Effectiveness Of Helmets At Decreasing The Risk Of Concussions, Daniel Y. Shyu, Goutham N. Sankaran, Kevin G. Mciver, Nicolas Leiva, Eric A. Nauman
The Summer Undergraduate Research Fellowship (SURF) Symposium
In many sports, such as American football, accumulations of mild traumatic brain injuries have been suggested as a possible link to neurodegeneration and future mental disorders. With head impacts occurring at all levels of competition and in different sports, it is critical to develop an accurate method for quantifying the effects of head impacts and determining the efficacy of helmets. This study examines the derivation of different dimensionless numbers and ascertains the critical factors needed to predict the effects of head impacts, specifically the resulting accelerations from an impact. Given a known force of impact, parameters such as peak translation …
Ball Pressure Correlations With Peak Impact Force And The Potential For Cumulative Mtbi When Heading A Soccer Ball, Nicolas Leiva, Daniel Y. Shyu, Josh Auger, Eric Nauman
Ball Pressure Correlations With Peak Impact Force And The Potential For Cumulative Mtbi When Heading A Soccer Ball, Nicolas Leiva, Daniel Y. Shyu, Josh Auger, Eric Nauman
The Summer Undergraduate Research Fellowship (SURF) Symposium
Soccer is a unique sport in which athletes use their heads as tools for gameplay, which may ultimately cause cumulative traumatic brain injuries. Due to rising popularity of soccer in the United States alongside the increased occurrence of CTE and mTBI in other contact sports, there is a growing concern over how to keep the repetitive forces caused by heading, as low as possible. Different variables that can affect the peak force felt when heading a soccer ball can be simulated and compared with in-game data, however, this has never been properly tested before. In the present study two size …
Analyzing Sports Training Data With Machine Learning Techniques, Rehana Mahfuz, Zeinab Mourad, Aly El Gamal
Analyzing Sports Training Data With Machine Learning Techniques, Rehana Mahfuz, Zeinab Mourad, Aly El Gamal
The Summer Undergraduate Research Fellowship (SURF) Symposium
In the sports industry, there has not been enough effort in analyzing the personalized monitoring data of athletes collected during training sessions. This research is an attempt to find meaningful patterns in the Purdue Women’s Soccer training data that could help the coach design more efficient training sessions. We are specifically interested in studying this problem as an unsupervised learning problem. Our initial attempt is to cluster the players as well as drills into groups using k-means, c-means and spectral clustering algorithms, combined with feature transformation and reduction steps. These basic algorithms serve as a benchmark to measure performance improvements …