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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.
Sensors (Basel, Switzerland)
|January 11, 2018
Summary
Optimize running cadence to reduce knee injuries. RunningCoach, a mobile health system, monitors cadence and provides feedback to help long-distance runners improve their form and prevent injury.
Area of Science:
- Sports Medicine
- Biomechanical Engineering
- Digital Health
Background:
- Knee injuries affect approximately 50% of long-distance runners.
- Running cadence (steps per minute) is strongly linked to running-related injuries.
- Optimizing running cadence is crucial for injury prevention in distance runners.
Purpose of the Study:
- To evaluate the feasibility and usability of the RunningCoach mHealth system.
- To assess the system's ability to remotely monitor running cadence continuously.
- To determine if immediate feedback can help runners optimize their cadence.
Main Methods:
- Development and deployment of the RunningCoach mobile health system.
- Continuous remote monitoring of running cadence and other variables.
- Real-time feedback delivery to runners for cadence adjustment.
Main Results:
- The RunningCoach system demonstrated feasibility and usability for runners.
- Continuous monitoring and feedback were successfully implemented.
- The system showed potential for aiding runners in cadence optimization.
Conclusions:
- The RunningCoach mHealth system is a viable tool for monitoring and improving running cadence.
- This technology can help long-distance runners reduce their risk of knee injuries.
- Further research should explore the long-term impact of cadence optimization on injury rates.
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