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Our client is a European consumer electronics brand that manufactures an array of wearable sensors and devices for the sports industry. At the moment the company is working on an athlete performance assessment platform with AI capabilities.
The solution is intended to:
Technology-wise, the platform would incorporate a cross-platform mobile app, cloud-based back end, and web dashboard.
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:
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.