Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Parallel Processing01:20

Parallel Processing

961
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
961

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Muscle Function Deficit Concept and Inflammaging.

Biomedicines·2026
Same author

Exploring novel biomarkers in pediatric ulcerative colitis: The role of Lipocalin-2, MMP-9, and MMP-9/LCN-2 complex.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·2026
Same author

Predictive Value of Molecular Biomarkers for Oral Food Challenge Outcomes in Children with Hazelnut and Peanut Allergies.

Nutrients·2026
Same author

The skeletal muscle function deficit: From an operational definition to clinic results from the InCHIANTI longitudinal study.

Experimental gerontology·2026
Same author

Admission Neutrophil-to-Lymphocyte Ratio Predicts Short- and Long-Term Mortality in Hospitalized Older Adults: A Retrospective Multicenter Study.

Aging and disease·2025
Same author

Clinical benefits and safety of polynucleotides injections for the treatment of tendinopathies: A multicenter, single-cohort, retrospective study.

Journal of back and musculoskeletal rehabilitation·2025
Same journal

Dataset of pesticide and trace metal concentrations in the pollen provisions of wild bees and surrounding soils across European bee hotels.

Data in brief·2026
Same journal

Dataset of structure-activity relationships in Pd/ZrO<sub>2</sub>-TiO<sub>2</sub> catalysts for furfural reductive amination: Batch vs Operando ATR-FTIR.

Data in brief·2026
Same journal

Dine in or take out dataset: user behavior in an interactive virtual reality café.

Data in brief·2026
Same journal

Heavy commercial vehicles' disposition: Anonymized dataset of German truck freight transport order trips (DT-DISPO).

Data in brief·2026
Same journal

A harmonized fast-fashion garment-variant dataset for textile circularity and sustainability assessment.

Data in brief·2026
Same journal

Terahertz reflectivity dataset: Reading text on both sides of the page.

Data in brief·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.6K

Auditory evoked potential electroencephalography-biometric dataset.

Nibras Abo Alzahab1, Angelo Di Iorio1, Luca Apollonio1

  • 1Department of Information Engineering (DII). Marche Polytechnic University, Ancona Italy.

Data in Brief
|November 25, 2024
PubMed
Summary
This summary is machine-generated.

Electroencephalographic (EEG) signals show potential for biometric authentication. This study explored EEG data under various conditions, including auditory stimuli, to assess its viability for identification systems.

Keywords:
Auditory stimuliAuthenticationBone-conducting headphonesBrain–computer interface (BCI)EEGResting state

More Related Videos

Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

2.8K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K

Related Experiment Videos

Last Updated: May 6, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.6K
Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

2.8K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K

Area of Science:

  • Neuroscience
  • Biometrics
  • Signal Processing

Background:

  • Biometric authentication is crucial for security.
  • Electroencephalographic (EEG) signals offer unique physiological data.
  • Exploring novel biometric modalities like EEG is an active research area.

Purpose of the Study:

  • To evaluate the efficacy of electroencephalographic (EEG) signals for biometric authentication.
  • To investigate the influence of auditory stimuli on EEG patterns for identification.
  • To compare EEG activity during resting states versus auditory stimulation.

Main Methods:

  • Collected over 240 electroencephalographic (EEG) recordings (2 min each) from 20 subjects.
  • Acquired resting-state EEG data with eyes open and closed.
  • Recorded EEG responses to auditory stimuli (in-ear and bone-conducting) including native/non-native songs and neutral music across two scenarios.

Main Results:

  • The collected dataset provides a comprehensive resource for developing EEG-based biometric systems.
  • Distinct EEG patterns were observed under different conditions (resting vs. auditory stimuli, eyes open/closed).
  • Auditory stimuli, including music, demonstrably affected EEG activity.

Conclusions:

  • EEG signals hold promise as a unique identifier for biometric authentication.
  • The study provides valuable data for advancing research in brain-computer interfaces and biometric security.
  • Further research can leverage this dataset to develop robust authentication algorithms and explore auditory stimulus effects on brain activity.