ReviewFrontiers in neuroinformatics2018
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition.
Review in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Toward Robust EEG Classification Using Adaptive CNN-Transformer and Inception Architectures and Signal Level Augmentation.Sensors (Basel, Switzerland) · 2026Article
- Efficient EEG-Based Person Identification: A Unified Framework from Automatic Electrode Selection to Intent Recognition.Sensors (Basel, Switzerland) · 2026Article
- Extraction of brainprint by means of autoencoder with attention mechanism.Frontiers in computational neuroscience · 2026Article
- Impact of fatigue levels on EEG-based personal recognition.Medical & biological engineering & computing · 2026Article
- Measuring Blink-Related Brainwaves Using Low-Density Electroencephalography with Textile Electrodes for Real-World Applications.Sensors (Basel, Switzerland) · 2025Article
- Unlocking Security for Comprehensive Electroencephalogram-Based User Authentication Systems.Sensors (Basel, Switzerland) · 2024Article
- Event-related pupillary response-based authentication system using eye-tracker add-on augmented reality glasses for individual identification.Frontiers in physiology · 2024Article
- Measurement of craving among gamers with internet gaming disorder using repeated presentations of game videos: a resting-state electroencephalography study.BMC public health · 2023Article
- Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results.Sensors (Basel, Switzerland) · 2023Article
- Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System.Sensors (Basel, Switzerland) · 2022Article
- EEG-Based Person Identification during Escalating Cognitive Load.Sensors (Basel, Switzerland) · 2022Article
- Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks.Sensors (Basel, Switzerland) · 2022Article
- EEG diagnosis of depression based on multi-channel data fusion and clipping augmentation and convolutional neural network.Frontiers in physiology · 2022Article
- [Review on identity feature extraction methods based on electroencephalogram signals].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Review
- Person authentication based on eye-closed and visual stimulation using EEG signals.Brain informatics · 2021Article
- Carbon Nanotube Wearable Sensors for Health Diagnostics.Sensors (Basel, Switzerland) · 2021Article
- The Individual Ictal Fingerprint: Combining Movement Measures With Ultra Long-Term Subcutaneous EEG in People With Epilepsy.Frontiers in neurology · 2021Article
- The Time-Robustness Analysis of Individual Identification Based on Resting-State EEG.Frontiers in human neuroscience · 2021Article
- Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications.Frontiers in human neuroscience · 2021Review
- EEG Fingerprints under Naturalistic Viewing Using a Portable Device.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of the digital world has greatly increased the number of accounts and passwords that users must remember. It has also increased the need for secure access to personal information in the cloud. Biometrics is one approach to person recognition, which can be used in identification as well as authentication. Among the various modalities that have been developed, electroencephalography (EEG)-based biometrics features unparalleled universality, distinctiveness and collectability, while minimizing the risk of circumvention. However, commercializing EEG-based person recognition poses a number of challenges. This article reviews the various systems proposed over the past few years with a focus on the shortcomings that have prevented wide-scale implementation, including issues pertaining to temporal stability, psychological and physiological changes, protocol design, equipment and performance evaluation. We also examine several directions for the further development of usable EEG-based recognition systems as well as the niche markets to which they could be applied. It is expected that rapid advancements in EEG instrumentation, on-device processing and machine learning techniques will lead to the emergence of commercialized person recognition systems in the near future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.