![]() Participant's performance along the different race tracks.We can’t stress this enough! So many marathon distance runners get lured in by the thought of that enigmatic 100-mile ultra that they book one in as their first ever ultra later that year. ![]() The evaluation suggests that theįeatures extracted by an I3D ConvNet provide enough information to estimate the Participant's running gait at some RPs and removed the context intending toĮnsure a runner-of-interest proper evaluation. To address this challenging task, we have tracked and codified the Occlusions may affect these footages due to the race staff and other runners. Furthermore, weather and illumination capture conditions or Each footage isĬonsidered an input to an I3D ConvNet to extract the participant's running gait Pass through a set of locations placed along the race track. In this sense, participants are captured when they Quantified and predicted by considering a non-invasive technique focusing on ![]() This work aims to determine how the runners performance can be However, weīelieve there is room for improvement, particularly from the organizers point Participants by providing performance measures in real-time. Theĭevelopment of wearable devices has undoubtedly contributed to motivating Nearly 41% of those runners participate in more than one race per year. Ultra-distance races has increased by 1,676% in the last 23 years. Download a PDF of the paper titled Decontextualized I3D ConvNet for ultra-distance runners performance analysis at a glance, by David Freire-Obreg\'on and 2 other authors Download PDF Abstract: In May 2021, the site this http URL published that participation in
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