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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)

Dataset

Description

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 Sept 2017
PublisherAristotle University of Thessaloniki
Temporal coverage2015 - 2015
  • 1 Conference paper
  • 1 Article

  • A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry

    Papapanagiotou, V., Diou, C., Zhou, L., van den Boer, J., Mars, M. & Delopoulos, A., 2017, In: IEEE Journal of Biomedical and Health Informatics. 21, 3, p. 607-618 7736096.

    Research output: Contribution to journal › Article › Academic › peer-review

    80   Link opens in a new tab Citations (Scopus)

  • The SPLENDID chewing detection challenge

    Papapanagiotou, V., Diou, C., Zhou, L., van den Boer, J., Mars, M. & Delopoulos, A., 14 Sept 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Proceedings: Smarter Technology for a Healthier World. IEEE, p. 817-820 8036949

    Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

    11   Link opens in a new tab Citations (Scopus)

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