首页|Chalmers University of Technology Researcher Describes Research in Machine Learning (Pacing Patterns of Half-Marathon Runners: An analysis of ten years of results from Gothenburg Half Marathon)
Chalmers University of Technology Researcher Describes Research in Machine Learning (Pacing Patterns of Half-Marathon Runners: An analysis of ten years of results from Gothenburg Half Marathon)
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Investigators publish new report on artificial intelligence. According to news reporting originating from Gothenburg, Sweden, by NewsRx correspondents, research stated, “The Gothenburg Half Marathon is one of the world’s largest half marathon races with over 40 000 participants each year.” The news editors obtained a quote from the research from Chalmers University of Technology: “In order to reduce the number of runners risking over-straining, injury, or collapse, we would like to provide runners with advice to appropriately plan their pacing. Many participants are older or without extensive training experience and may particularly benefit from such pacing assistance. Our aim is to provide this with the help of machine learning. We first analyze a large publicly available dataset of results from the years 2010 - 2019 (n = 423 496) to identify pacing patterns related to age, sex, ability, and temperature of the race day.”
Chalmers University of TechnologyGothenburgSwedenEuropeCyborgsEmerging TechnologiesMachine LearningRisk and Prevention
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