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. 2024 Oct 28:57:111065.
doi: 10.1016/j.dib.2024.111065. eCollection 2024 Dec.

Auditory evoked potential electroencephalography-biometric dataset

Nibras Abo Alzahab  1 , Angelo Di Iorio  1 , Luca Apollonio  1 , Muaaz Alshalak  1 , Alessandro Gravina  1 , Luca Antognoli  2 , Marco Baldi  1 , Lorenzo Scalise  2 , Bilal Alchalabi  3
Affiliations

Auditory evoked potential electroencephalography-biometric dataset

Nibras Abo Alzahab et al. Data Brief. .

Abstract

This work aims to assess the use of electroencephalographic (EEG) signals as a means of biometric authentication. More than 240 recordings, each lasting 2 min, were gathered from 20 subjects involved in the data collection. Data include the results of experiments performed both in a resting state and in the presence of auditory stimuli. The resting-state EEG signals were acquired with both open and closed eyes. The auditory stimuli EEG signals consist of six experiments divided into two scenarios. The first scenario considers in-ear stimuli, while the second scenario considers bone-conducting stimuli. For each of the two scenarios, experiments include a native language song, a non-native language song and some neutral music. This data could be used to develop biometric systems for authentication or identification. Additionally, they could be used to study the effect of auditory stimuli such as music on EEG activity and to compare it with the resting state condition.

Keywords: Auditory stimuli; Authentication; Bone-conducting headphones; Brain–computer interface (BCI); EEG; Resting state.

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Figures

Fig. 1
Fig. 1
EEG signals of the three subsets.
Fig. 2
Fig. 2
Channels locations.
Fig. 3
Fig. 3
Experimental protocol of the EEG recording sessions.
See this image and copyright information in PMC

References

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