Published November 5, 2025 | Version v1.1.2
Software Open

Decoding Auditory Attention and Musical Emotions with Ear-EEG (DAAMEE) Experiment Materials

Authors/Creators

  • 1. Queen Mary, University of London
  • 2. Aarhus University

Description

The code and original musical stimuli for an experiment to study emotion decoding and auditory attention decoding. Although the experiment was designed with scalp and cEEGrid EEG in mind, it can also be run with scalp EEG alone (or even with other modalities). The repository also features code for a pilot study which was used to fine-tune a set of stimuli (Set07) which were frequently perceived as being quieter than the others during early pilot studies.

Notes

If you use these materials, please cite using the metadata from this file. The code is under the MIT license; the stimuli are under CC-BY-4.0. Funding is provided by UKRI and EPSRC through the "UKRI Centre for Doctoral Training in Artificial Intelligence and Music", under grant EP/S022694/1. We would like to thank Dr. Huy Phan for his help in planning the experiment. We would also like to thank the musical stimuli production team: Daksh Kathe, Sebastian Löbbers, Kyle Rowland, and Dr. George Miklas. Thanks to Dr. Winko An for his input on the experimental plan and stimuli (particularly with regards to Part 2). Thanks to colleagues at both Queen Mary University of London and Aarhus University, for their assistance; special thanks to Dr. Nhan D. T. Nguyen for his help setting up the PsychoPy scripts.

Files

Chris-Winnard/DAAMEE-experiment-v1.1.2.zip

Files (833.9 MB)

Name Size Download all
md5:5a772987c03673d3c1089d0e4a8e9a79
833.9 MB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/Chris-Winnard/DAAMEE-experiment/tree/v1.1.2 (URL)

Software

Repository URL
https://github.com/Chris-Winnard/DAAMEE-experiment