Artificial Neural Networks for Marathon Runners

Artificial Neural Networks are utilized  to optimize conditions based upon real-time data collected.

In this study we explore the Running Economy (RE) of marathon runners. With ambulatory accelerometers mounted in the metatarsal region of the athlete's foot, we are able to measure changes in RE as the athlete executes a daily run.


To optimize the athlete's performance, we modify their daily running routine and are able to measure improvements in economy over a 6 week period

© 2021 Equalis LLC

Columbus, OH, United States


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