An end-to-end deep learning pipeline for football activity recognition based on wearable acceleration sensors

HIGHLIGHTS

  • who: Rafael Cuperman and collaborators from the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , CE Delft, The Netherlands have published the research work: An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors, in the Journal: Sensors 2022, 22, 1347. of /2022/
  • what: The authors investigated the possibility to extract these statistics from sensor data generated by a previously developed sensor garment. The focus of the study is the application in football (soccer). The majority of those works focus on daily human activities . Since . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?