Boulder, CO (July 8, 2021) — LEOMO Inc., a company that helps runners and triathletes of all levels improve their technique and form with products and direct-to-customer services that enable faster, stronger, more efficient, injury-free running, has signed a partnership agreement with the successful Tokyo International University Ekiden Club.
Under the agreement, LEOMO will be using its one-of-a-kind wearable motion analysis device and sensors to study the running form of more than 50 runners in the Ekiden Club for the purpose of optimizing runners for the Hakone Ekiden race, the most prominent and famous university relay race in Japan. The motion data collected will be able to identify characteristics of running form, help runners improve technique, formulate training plans and develop strategy for Ekiden racing.
By conducting multifaceted running form analysis with LEOMO TYPE-S and LVS motion analysis technology and quantifying runner progress through LEOMO Motion Performance Indicators (MPIs) and prototype metrics that have not yet been released, the partnership will help the club optimally prepare its runners for challenging Ekiden race course features, such as climbing and descending, and to determine which runners are best suited for the different characteristics of the specific sections of the course.
“Through my long experience as a coach, I have found it difficult to accurately grasp the characteristics of athletes and prevent injuries,” said Hideji Oshida, Director of Ekiden Club at Tokyo International University. “Each and every runner is very important to us at the University Ekiden Club. We want to improve all the runners, and we also want Club the Ekiden race with the optimal placement.”
LEOMO technology has already provided motion data analysis to 55 athletes enrolled in the Tokyo International University Ekiden Club, and it is not only used for daily instruction, but also for the running form analysis service provided by LEOMO for general runners.
Prior to using LEOMO technology, Oshida said it was difficult to see the small changes in movements of every athletes in the club and also more challenging to select runners for the sections of an Ekiden course.
“After several tests with LEOMO, I found that what we visually felt as the movement of the runners and what was read from the data were quite the same,” Oshida said. “Through future partnerships, we believe that we will be able to provide guidance that approaches the achievement of the goals of the University Ekiden Club by grasping the finer changes and suitability of the athletes.”