Passive Head-Mounted Display Music-Listening EEG dataset

TL;DR

This paper presents a publicly available EEG dataset capturing brain activity of 12 subjects listening to music with a passive head-mounted display, useful for research in music perception and wearable EEG analysis.

Contribution

It introduces a new EEG dataset recorded during music listening with a passive head-mounted display, including detailed procedures and accessible data formats.

Findings

Dataset includes recordings from 12 subjects with 16 electrodes.

Data collected during a controlled experiment in Grenoble, France.

Python tools provided for data manipulation.

Abstract

We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats. This dataset contains electroencephalographic recordings of 12 subjects listening to music with and without a passive head-mounted display, that is, a head-mounted display which does not include any electronics at the exception of a smartphone. The electroencephalographic headset consisted of 16 electrodes. Data were recorded during a pilot experiment taking place in the GIPSA-lab, Grenoble, France, in 2017 (Cattan and al, 2018). Python code for manipulating the data is available at https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA. The ID of this dataset is PHMDML.EEG.2017-GIPSA.