Sensor-driven Tripod for Recording Athlete DAta (STRADA)

15 October 2022 → 14 April 2024
Regional and community funding: Industrial Research Fund
Research disciplines
  • Natural sciences
    • Computer science
    • Data mining
    • Knowledge representation and reasoning
slimme camera metadata verrijking sensordata sportverslaggeving gepersonaliseerde content datagestuurde besluitvorming
Project description

With our STRADA spin-off we aim to refine and market a data-driven camera for sports applications. Using sensors worn by athletes, such as cyclists, their locations and actions are identified and used to control a smart camera to automatically capture relevant footage. Typical examples of such sensors are heart rate monitors, power meters, … but also time registration loops which precisely determine the location of athletes on a track.

STRADA generates short, personalized video clips that will attract sports fans and broadcasting companies. STRADA is our answer to increase fan engagement in a time where on-demand information has become mainstream, and viewers are often saturated with an abundance of long live race coverage. Moreover, STRADA offers value for athletes and coaches to improve technical and tactical skills.

The main challenges are the synchronization of different data streams and the automatic action detection required to create the video clips.