WCN

A dashboard to support coaches of track cyclists in analyzing and visualizing real-time sensor data.

About the project

User-friendly dashboard to support coaches in monitoring their athletes during indoor cycling, able to capture, analyze and visualize sensor data. The dashboard is extensible with different modules such as signal-strength (RSSI) based zone localisation, PACE body battery and so on.

To develop a user-friendly dashboard to support coaches in monitoring their athletes during indoor cycling, and to be able to capture, analyze and visualize sensor data. To use all available ANT+ enabled sensors of the athletes (power, cadence, heart rate,…) and capture them in different zones on the track using off-the-shelf hardware. To develop an innovative signal strength-based methodology to perform localization. To build tools to automatically detect and evaluate specific events (e.g. madison change) and identify outliers.

IDLab role

IDLab has the following tasks within the WCN project

  • Setup of infrastructure to capture and distribute ANT+ sensor values to data consumers
  • Dashboard to process, analyze and report collected sensor data

Interesting resources

Contact the involved IDLab Researchers

Main researcher
ing. Robbe Decorte
Assisting researcher
ing. Jelle De Bock
Research supervisor
prof. dr. Steven Verstockt