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Sensors 2018, 18(1), 175; doi:10.3390/s18010175

The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners

Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA
The paper extends on the work reported in Aranki, D.; Balakrishnan, U.; Sarver, H.; Serven, L.; Asuncion, C.; Du, K.; Gruis, C.; Peh, G.X.; Xiao, Y.; Bajcsy, R. RunningCoach—Cadence Training System for Long-Distance Runners. In Proceedings of 2017 Health-i-Coach—Intelligent Technologies for Coaching in Health, Barcelona, Spain, 23–26 May 2017.
Author to whom correspondence should be addressed.
Received: 1 November 2017 / Revised: 2 December 2017 / Accepted: 23 December 2017 / Published: 10 January 2018
(This article belongs to the Special Issue Smart Sensing Technologies for Personalised Coaching)
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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. View Full-Text
Keywords: remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

  • Externally hosted supplementary file 1
    Doi: 10.1145/3154862.3154935
    Description: The conference paper. DOIs will be registered and become active shortly after publication in the ACM Digital Library.

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Aranki, D.; Peh, G.X.; Kurillo, G.; Bajcsy, R. The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners. Sensors 2018, 18, 175.

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