Beyond "how hard did it feel?" what can we gain from the use of wearable sensors to monitor training loads in running?

Training errors are often implicated in the development of running-related injuries (RRIs), yet little is known about "how much is too much" when it comes to progression of training loads. Biomechanical factors are also believed to moderate RRI risk since the magnitude and distribution of forces dependent on one's running form influences the incremental loads on a per step basis. We present preliminary findings from a study investigating RRI risk using simple consumer-grade wearable sensors to monitor training load and impact-related metrics. Our findings suggest that this method of monitoring training load may allow for greater prediction of RRI risk by capturing more than just volume and rating of perceived exertion (RPE).