**Daniel Aranki \* ID , Gao Xian Peh ID , Gregorij Kurillo ID and Ruzena Bajcsy**

Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA; pehgaoxian@berkeley.edu (G.X.P.); gregorij@eecs.berkeley.edu (G.K.); bajcsy@eecs.berkeley.edu (R.B.)


Received: 1 November 2017; Accepted: 23 December 2017; Published: 10 January 2018

**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.

**Keywords:** remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis
