Next Article in Journal
RESTOP: Retaining External Peripheral State in Intermittently-Powered Sensor Systems
Next Article in Special Issue
Increasing the Intensity over Time of an Electric-Assist Bike Based on the User and Route: The Bike Becomes the Gym
Previous Article in Journal
Small Imaging Depth LIDAR and DCNN-Based Localization for Automated Guided Vehicle
Previous Article in Special Issue
Real-Time Monitoring in Home-Based Cardiac Rehabilitation Using Wrist-Worn Heart Rate Devices
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(1), 175; https://doi.org/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)
View Full-Text   |   Download PDF [4561 KB, uploaded 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. View Full-Text
Keywords: remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis
Figures

Figure 1

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.
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top