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.-x-x-x-x-x-x-x-x-If you use this dataset, please cite the following papers:[1] V. Papapanagiotou, C. Diou, L. Zhou, J. van den Boer, M. Mars and A. Delopoulos, “The SPLENDID chewing detection challenge,” 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, 2017, pp. 817-820.doi: 10.1109/EMBC.2017.8036949URL: http://ieeexplore.ieee.org/document/8036949/[2] V. Papapanagiotou, C. Diou, L. Zhou, J. van den Boer, M. Mars and A. Delopoulos, “A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry,” in IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 3, pp. 607-618, May 2017.doi: 10.1109/JBHI.2016.2625271URL: http://ieeexplore.ieee.org/document/7736096/*ATTENTION: This publication is replaced by a new version of the data. For the new version please look at the reference list*