A dataset of EEG signals from a single-channel SSVEP-based brain computer interface

Giovanni Acampora; Pasquale Trinchese; Autilia Vitiello

doi:10.1016/j.dib.2021.106826

A dataset of EEG signals from a single-channel SSVEP-based brain computer interface

Data Brief. 2021 Feb 2:35:106826. doi: 10.1016/j.dib.2021.106826. eCollection 2021 Apr.

Authors

Giovanni Acampora^{1

2}, Pasquale Trinchese², Autilia Vitiello²

Affiliations

¹ Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, 80126 Naples, Italy.
² Department of Physics "Ettore Pancini", University of Naples Federico II, 80126 Naples, Italy.

Abstract

The paper presents a collection of electroencephalography (EEG) data from a portable Steady State Visual Evoked Potentials (SSVEP)-based Brain Computer Interface (BCI). The collection of data was acquired by means of experiments based on repetitive visual stimuli with four different flickering frequencies. The main novelty of the proposed data set is related to the usage of a single-channel dry-sensor acquisition device. Different from conventional BCI helmets, this kind of device strongly improves the users' comfort and, therefore, there is a strong interest in using it to pave the way towards the future generation of Internet of Things (IoT) applications. Consequently, the dataset proposed in this paper aims to act as a key tool to support the research activities in this emerging topic of human-computer interaction.

Keywords: Brain computer interface; EEG signals; Internet of Things; Single-channel brain computer interface; Steady state visual evoked potentials.