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The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners
Daniel Aranki1, Gao Xian Peh2, Gregorij Kurillo3
1Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA. daranki@cs.berkeley.edu.
Abstract:
Studies have shown that about half of the injuries sustained during long-distance running involve the knee. Cadence (steps per minute) has been identified as a factor that is strongly associated with these running-related injuries, making it a worthwhile candidate for further study. As such, it is critical for long-distance runners to minimize their risk of injury by running at an appropriate running cadence. In this paper, we present the results of a study on the feasibility and usability of RunningCoach, a mobile health (mHealth) system that remotely monitors running cadence levels of runners in a continuous fashion, among other variables, and provides immediate feedback to runners in an effort to help them optimize their running cadence.
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