The SPLENDID chewing detection challenge (Version 2)

  • Anastasios Delopoulos (Creator)
  • Vasileios Papapanagiotou (Creator)
  • Christos Diou (Creator)
  • L.Z. Zhou (Creator)
  • J.H.W. van den Boer (Creator)
  • Monica Mars (Creator)



This dataset contains approximately 60 hours of recordings from a prototype chewing detection system. The sensor signals include photoplethysmography (PPG) and processed audio from the ear-worn chewing sensor, and signals from a belt-mounted 3D accelerometer. The recording sessions include 14 participants and were conducted in the context of the EU funded SPLENDID project, at Wageningen University, The Netherlands, during the summer of 2015. The purpose of the dataset is to help develop effective algorithms for chewing detection based PPG, audio and accelerometer signals.
Date made available21 Sep 2017
PublisherAristotle University of Thessaloniki
Temporal coverage2015 - 2015

Cite this