A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey
2022
Sensors
Preserved Fulltext
There is a major need to summarize the latest developments in this field. Existing surveys have mainly focused on a small subset of cognitive biometric modalities, such as EEG and ECG. ...
Recent research has demonstrated great potential for using cognitive biometrics in versatile applications, including biometric recognition and cognitive and emotional state recognition. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s22145111
pmid:35890799
pmcid:PMC9320620
fatcat:7cniceltrbfkjk6hxfqij5yegm
Biometric authentication based on PCG and ECG signals: present status and future directions
2013
Signal, Image and Video Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper aims to review the previous studies related to the usage of the ECG and PCG signals in human recognition. ...
In addition, we discuss briefly the most important techniques and methodologies used by researchers in the preprocessing, feature extraction and classification of the ECG and PCG signals. ...
In this study, the authors discuss the employment of brain signals for human recognition tasks and focus on the challenges facing these signals towards the deployment of a practical biometric system. ...
doi:10.1007/s11760-013-0593-4
fatcat:ja2xnsnizzf5piykbteq5bxeva
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition
2018
Frontiers in Neuroinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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. ...
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. ...
However, the permanence and performance of EEG-based biometrics is still under research, as discussed in the next section. ...
doi:10.3389/fninf.2018.00066
pmid:30356770
pmcid:PMC6189450
fatcat:55kdpxjp5zhmbhfre7kycuvhre
Time-dependent Morphological and Biochemical Changes following Cutaneous Thermal Burn Injury and Their Modulation by Copper Nicotinate Complex: An Animal Model
2012
Ultrastructural Pathology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper aims to review the previous studies related to the usage of the ECG and PCG signals in human recognition. ...
In addition, we discuss briefly the most important techniques and methodologies used by researchers in the preprocessing, feature extraction and classification of the ECG and PCG signals. ...
In this study, the authors discuss the employment of brain signals for human recognition tasks and focus on the challenges facing these signals towards the deployment of a practical biometric system. ...
doi:10.3109/01913123.2012.685687
pmid:23025652
fatcat:ikmutzb6rvfsvnk6d546so77eu
Visually Evoked Potential For Eeg Biometrics Using Convolutional Neural Network
2018
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017 ...
STATE OF THE ART: VEP-BASED EEG BIOMETRICS A brief synopsis of the state-of-the-art works on the use of visual-stimuli-elicited EEG signals for biometric identification is presented in this section. ...
The accuracy achieved by our biometric identification system reestablishes our claim on the permanence of EEG signals made in [7] , where it has been shown that VEP responses can be efficiently used as ...
doi:10.5281/zenodo.1159739
fatcat:4vsr2wlcpnh6rgdmgsoawz5654
On the Specificity and Permanence of Electroencephalography Functional Connectivity
2021
Brain Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our work demonstrates the existence of specific and permanent EEG-FC patterns in the brain, providing potential information for biometric applications. ...
This manuscript utilizes machine learning algorithms to explore the individual specificity and permanence of resting-state EEG connectivity patterns. ...
Conflicts of Interest: The authors have no potential conflict of interest to disclose. ...
doi:10.3390/brainsci11101266
pmid:34679331
pmcid:PMC8722434
fatcat:jud2pj3ixbayhjdxix6lmgaone
BIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In particular, the database relies on the proven collectability and acceptance of voice recognition, the universality and circumvention of EEG and the permanence and collectability of video stream modalities ...
As for EEG signals, two .avi-formatted files per user are created, with frame size of 1280x720, and with frame rate of 8fps, one for the 10-digit sequence and one for the 4-digit series. ...
doi:10.1109/access.2021.3100035
fatcat:vujmbpbkmrdhlevsg3xe33eura
COMPARATIVE STUDY OF COMPUTATIONAL INTELLIGENCE PARADIGMS FOR INTELLIGENT ACCESS CONTROL BASED ON BIOMETRICS METHODOLOGIES
2020
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
All previous studies used brain EEG signals. Where different algorithms were used to extract, the features. These feature applied for human identification. ...
Through this study, brain signals are the best among the techniques. In this study, we first presented a survey of the Computational intelligence techniques in biometrics. ...
In addition, the execution of an EEG based biometric system relies on the main design of the protocol.
Fig. 14: EEG Signal
IV. ...
doi:10.26782/jmcms.2020.08.00049
fatcat:67ciu4v2f5dlvagt56lybjnwcu
Image-Evoked Affect and its Impact on Eeg-Based Biometrics
2019
2019 IEEE International Conference on Image Processing (ICIP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this work, we examine the use of images as stimulus for acquiring EEG signals and study whether the use of images that evoke similar emotional responses leads to higher identification accuracy compared ...
Electroencephalography (EEG) signals provide a representation of the brain's activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their ...
Apart from affect recognition, EEG signals have a wide range of applications, including, more recently, biometrics. ...
doi:10.1109/icip.2019.8803315
dblp:conf/icip/Arnau-GonzalezK19
fatcat:55utacxgvvbjldywzso43lskci
Survey of EEG-based biometric authentication
2017
2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Several types of methodical approaches have been proposed and prototyped to analyze EEG data with various signal-processing methods and pattern-recognition algorithms. ...
User authentication systems based on EEG (electroencephalography) is currently popular, marking an inflection point in the field. ...
International standards have been established for electrode placement on the skull of the human brain. Jasper et al. proposed [7] the 10-20 system for the capture of EEG signals. ...
doi:10.1109/icawst.2017.8256471
dblp:conf/icawst/JayarathneCA17
fatcat:mryzw5wkt5h6dhtsdsqjdehdxq
On the influence of affect in EEG-based subject identification
2018
IEEE Transactions on Affective Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The variation exhibited between the brain signals (EEG) of different people makes such signals especially suitable for biometric user identification. ...
Biometric signals have been extensively used for user identification and authentication due to their inherent characteristics that are unique to each person. ...
ACKNOWLEDGMENTS This work has been partially supported by the Spanish Ministry of Economy and Competitiveness through project TIN2014-59641-C2-1-P and by the University of the West Scotland Vice Principal's ...
doi:10.1109/taffc.2018.2877986
fatcat:mfm3ilt6rbgpjmctlrm63n7ivm
Effect of Auditory Stimuli on Electroencephalography-based Authentication
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This paper provides an experimental evaluation of the effect of auditory stimuli (AS) on EEG-based biometrics by studying the following features: i) general change in AS-aided EEG-based biometric authentication ...
Opposed to standard authentication methods based on credentials, biometric-based authentication has lately emerged as a viable paradigm for attaining rapid and secure authentication of users. ...
The aim of this paper is to study the effect of the auditory stimuli on the performance of EEG-based biometric authentication, focusing on these aspects. ...
arXiv:2206.14519v1
fatcat:2bivh76bqjfjtosrwpgravqs5u
Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition
2020
Frontiers in Bioengineering and Biotechnology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is text/html.
comparable to the reported performance of ECG and EEG. ...
This work demonstrated the potential and effectiveness of sEMG as a biometric trait in user verification and identification, beneficial for the design of future biometric systems. ...
“ECG biometric recognition: permanence analysis of QRS signals for 24 hours continuous authentication,” in Proceedings of the 2013 IEEE International Workshop on Information Forensics and Security, WIFS ...
doi:10.3389/fbioe.2020.00058
pmid:32117937
pmcid:PMC7033497
fatcat:gpyvvdriynhrzcbeyrq3oglfk4
An Overview and Analysis Based on Biometric Framework Technique and Fingerprint Biometric Technology
2017
International Journal of Scientific Research in Computer Sciences and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The reason for our paper is to overview and analysis to know how to use biometric system and working for creation assessment whether the combination of structure and creation and unique mark biometric ...
Various method are used to discover and study and outcome result, biometric functions are advantage and for their strength and properly working in the completion of the biometric technology. ...
The perception of odors persistence is hard to investigate use expose to a permanent chemical elicit different response based on sensor and physiological signal and interpretation of this signal influences ...
doi:10.26438/ijsrcse/v5i6.6974
fatcat:eb5i766vlbh67hls3ztaocf3de
A Review of Cancelable Biometric Authentication Methods
2018
Journal of Biometrics & Biostatistics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper provides a review of the state of the art of different methods of biometric based authentication schemes and cancelable biometric systems. ...
Biometric analysis for identity verification is becoming a widespread reality. ...
Facial recognition is one of the popular way of recognizing the individuals. A person is identified based on the pattern of ridges, minutiae points in case of fingerprint biometrics. ...
doi:10.4172/2155-6180.1000398
fatcat:s7ckxwvosfa5jcqnh24fhkaktq
« Previous
Showing results 1 — 15 out of 538 results