Filters








181 Hits in 7.8 sec

EEG-Based Identity Authentication Framework Using Face Rapid Serial Visual Presentation with Optimized Channels

Ying Zeng, Qunjian Wu, Kai Yang, Li Tong, Bin Yan, Jun Shu, Dezhong Yao
2018 Sensors  
In this paper, a face image-based rapid serial visual presentation (RSVP) paradigm for identity authentication is proposed.  ...  Experimental results show that our proposed framework for EEG-based identity authentication is effective, robust, and stable over time.  ...  To achieve rapid authentication, facial images are presented by rapid serial visual presentation (RSVP) [16] in our paradigm, which can present a large number of stimuli in a short time, eliciting strong  ... 
doi:10.3390/s19010006 fatcat:e5wy6kn2ozfsthwx32tcv6xxua

BRAIN-BASED AUTHENTICATION: TOWARDS A SCALABLE, COMMERCIAL GRADE SOLUTION USING NONINVASIVE BRAIN SIGNALS [article]

Ronen Kopito, Aia Haruvi, Noa Brande-Eilat, Shai Kalev, Eitan Kay, Dan Furman
2021 bioRxiv   pre-print
In each session there were six (6) authentication events consisting of rapid presentation of images (10Hz) that participants watched for 10 seconds while recording their brain signal with an off-the-shelf  ...  We show a simplified brain-based authentication system that captures distinguishable information with reliable, commercial-grade performance from participants at their own homes.  ...  Figure 2 : 2 Time course of brain-based authentication using rapid serial visual presentation prompts.  ... 
doi:10.1101/2021.04.09.439244 fatcat:yycr2yktq5bbnpkjt6fo4zzrsy

Robust Single-Trial EEG-Based Authentication Achieved with a 2-Stage Classifier

Uladzislau Barayeu, Nastassya Horlava, Arno Libert, Marc Van Hulle
2020 Biosensors  
We propose an authentication system based on EEG signals recorded in response to a simple motor paradigm. Authentication is achieved with a novel two-stage decoder.  ...  In the second stage, a support vector machine (SVM) is used for binary classification to authenticate the subject based on the extracted features.  ...  Martinovich for organizing the internship in the framework of the ERASMUS+ program.  ... 
doi:10.3390/bios10090124 pmid:32933146 fatcat:gimh2cp7erfztlf56l2sv2itxm

Review on EEG-Based Authentication Technology

Shuai Zhang, Lei Sun, Xiuqing Mao, Cuiyun Hu, Peiyuan Liu, Luis Javier Herrera
2021 Computational Intelligence and Neuroscience  
With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years.  ...  Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies.  ...  [34] built an optimized channel-based model for each user to improve authentication accuracy and robustness.  ... 
doi:10.1155/2021/5229576 pmid:34976039 pmcid:PMC8720016 fatcat:gjmcu3362rhqzbpbpofkrvfpnu

DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography

Yingdong Wang, Qingfeng Wu, Chen Wang, Qunsheng Ruan
2020 Computational and Mathematical Methods in Medicine  
In the present study, a novel EEG-based identification system with different entropy and a continuous convolution neural network (CNN) classifier is proposed.  ...  For a video signal as the EEG stimulant, it is found that the proposed method with 0–75 Hz is more robust than a single band, while the 15–32 Hz band presents overfitting and reduces the accuracy of the  ...  In fact, the PSD value should be calculated at point N. e periodic estimation of the PSD method is expressed as follows: [14] Eye blinking and self-or non-self-rapid serial visual presentation Machine  ... 
doi:10.1155/2020/7574531 pmid:32849910 pmcid:PMC7439782 fatcat:7xemuoibjvbfdh7fp4b65vtebi

Language-Model Assisted and Icon-Based Communication Through a Brain–Computer Interface With Different Presentation Paradigms

Asieh Ahani, Mohammad Moghadamfalahi, Deniz Erdogmus
2018 IEEE transactions on neural systems and rehabilitation engineering  
Rapid Serial Visual Presentation (RSVP) is a technique commonly used in experimental psychology to obscure non-relevant information and avoid distractions.  ...  Rapid Serial Visual Presentation (RSVP) is an alternative interface that minimizes required movement by displaying all icons at a fix location, one at a time.  ... 
doi:10.1109/tnsre.2018.2859432 pmid:30047890 fatcat:reqddcivujay3ln3cmkfj4w7lu

A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers [article]

Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Mcalpine, Yu Zhang
2020 arXiv   pre-print
We then present a comprehensive survey of deep learning techniques used for BCI, by summarizing over 230 contributions most published in the past five years.  ...  Finally, we discuss the applied areas, opening challenges, and future directions for deep learning-based BCI.  ...  Similar to RSVP, Rapid Serial Auditory Presentation (RSAP) refers to the experiments with rapid serial presentation of sound stimuli.  ... 
arXiv:1905.04149v5 fatcat:sjz3wvw5vvch3ncxnvflgbob3a

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Bifta Sama Bari, Sabira Khatun
2020 Frontiers in Neurorobotics  
First, a brief overview of electroencephalogram (EEG)-based BCI systems is given.  ...  Nonetheless, it is also worth mentioning that with these improvements, new challenges are constantly discovered.  ...  Acqualagnav et al. (2010) proposed rapid serial visual presentation (RSVP) with the aim of forming an efficient gaze-independent ERP speller.  ... 
doi:10.3389/fnbot.2020.00025 pmid:32581758 pmcid:PMC7283463 fatcat:jhpwp2b3hffz5mazb7y6oj3saq

In-ear EEG biometrics for feasible and readily collectable real-world person authentication [article]

Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic
2017 arXiv   pre-print
A robust approach is considered based on the resting state with eyes closed paradigm, the use of both parametric (autoregressive model) and non-parametric (spectral) features, and supported by simple and  ...  The use of EEG as a biometrics modality has been investigated for about a decade, however its feasibility in real-world applications is not yet conclusively established, mainly due to the issues with collectability  ...  The brain-computer interface based biometrics application with rapid serial visual presentation paradigm achieved CRR = 100 % with 27 s window size over all 29 subjects.  ... 
arXiv:1705.03742v2 fatcat:4k25wht55zgt3d54lhwubzbwwy

In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication

Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic
2018 IEEE Transactions on Information Forensics and Security  
A robust approach is considered based on the resting state with eyes closed paradigm, the use of both parametric (autoregressive model) and non-parametric (spectral) features, and supported by simple and  ...  , robustness, and reproducibility issues associated with current EEG biometrics.  ...  The brain-computer interface based biometrics application with rapid serial visual presentation paradigm achieved CRR = 100 % with 27 s window size over all 29 subjects.  ... 
doi:10.1109/tifs.2017.2763124 fatcat:54yso5ywpnanxgl4luvssb262m

Brain-Computer Interfaces using Machine Learning

Theodoros Papadopoulos, Iraklis Varlamis
2019 Zenodo  
The first module communicates with the MUSE (a low-cost EEG device) to acquire the EEG signals in real time, the second module process those signals using machine learning techniques and trains a learning  ...  The model is used by the third module, that takes control of cloud-based home automation devices.  ...  For MI-based BCIs, a cue (usually visual) is presented to the subject while the EEG recording device is capturing the brain signal.  ... 
doi:10.5281/zenodo.2581620 fatcat:n65zuruy2feibh2pa24d2ekr2i

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications

Andrea Bonci, Simone Fiori, Hiroshi Higashi, Toshihisa Tanaka, Federica Verdini
2021 Electronics  
The prospect and potentiality of interfacing minds with machines has long captured human imagination.  ...  The present tutorial aims to survey the principal features and challenges of brain–computer interfaces (such as reliable acquisition of brain signals, filtering and processing of the acquired brainwaves  ...  Rapid serial visual presentation appears to be one of the most appropriate paradigms for patients using a P300-based brain-computer interface, since ocular movements are not required.  ... 
doi:10.3390/electronics10050560 fatcat:g2d57exmcbghlkf2rekmgdjhae

Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
2022 arXiv   pre-print
Along with the massive growth of the Internet from the 1990s until now, various innovative technologies have been created to bring users breathtaking experiences with more virtual interactions in cyberspace  ...  Many virtual environments with thousands of services and applications, from social networks to virtual gaming worlds, have been developed with immersive experience and digital transformation, but most  ...  , which were deployed in a rapid serial visual presentation (RSVP) procedure.  ... 
arXiv:2202.10336v1 fatcat:35isd745dbaqfnpzthnmbaosue

A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements and Future Directions

Rabia Khan, Pardeep Kumar, Dushantha Nalin K. Jayakody, Madhusanka Liyanage
2019 IEEE Communications Surveys and Tutorials  
Optimized sum secrecy rate based on optimization. [217] Stochastic geometry Single cell, DL NOMA with Rayleigh fading channel, randomly deployed users and eavesdroppers.  ...  Improvement of secrecy rate with AN aided polar coding and sub optimal jamming position selection using greedy algorithm and channel polarization.  ... 
doi:10.1109/comst.2019.2933899 fatcat:bulfng6levdelgmel7oxoi6pna

Machine Learning for Microcontroller-Class Hardware – A Review [article]

Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
2022 arXiv   pre-print
We present both qualitative and numerical insights into different stages of model development by showcasing several applications.  ...  Recently, researchers have used a specialized model development cycle for resource-limited applications to ensure the compute and latency budget is within the limits while still maintaining the desired  ...  AttendNets uses a standalone visual attention condenser, which improve spatial-channel selective attention [89] .  ... 
arXiv:2205.14550v1 fatcat:osh2kxish5crbkgbuc3dr5amgu
« Previous Showing results 1 — 15 out of 181 results