Helps coaches evaluate athletes’ performance based on sensor data and personalize workout plans
Multi-level Athlete Performance Analytics Solution for Coaches
Time and Materials
The company turned to Softeq to create an athlete performance assessment platform for sports coaches. The solution is intended to:
Technology-wise, the platform would incorporate a cross-platform mobile app, cloud-based back end, and web dashboard.
Sensor data acquisition
We built a cross-platform mobile app that acts as a hub between the sensing devices and a back end, where sensor data is stored and processed. The app functions as follows:
Athlete performance assessment
To help coaches evaluate athletes’ performance based on sensor data, we built a web dashboard featuring:
The dashboard allows coaches to create athlete profiles, view workout data, and comment on it. By evaluating an athlete’s heart rate, body position, and acceleration, a coach can tell whether motion and force exercises are performed properly. This helps trainers personalize workout plans and improve athletes’ results.
Our customer considers automating the evaluation process by feeding the annotated workout data to a neural network. Once we gather enough performance data, we’ll proceed to train a custom Machine Learning model and deploy it in the cloud.