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A Review of Hybrid Brain-Computer Interface Systems

Setare Amiri, Reza Fazel-Rezai, Vahid Asadpour
2013 Advances in Human-Computer Interaction  
Increasing number of research activities and different types of studies in brain-computer interface (BCI) systems show potential in this young research area.  ...  Research teams have studied features of different data acquisition techniques, brain activity patterns, feature extraction techniques, methods of classifications, and many other aspects of a BCI system  ...  Introduction A brain-computer interface (BCI) system can provide a communication method to convey brain messages independent from the brain's normal output pathway [1] .  ... 
doi:10.1155/2013/187024 fatcat:v2pxgvne6jfkfe3zudafhghagm

Improving P300 and SCP-based Brain computer interfacing by spectral subtraction denoising

Meena M. Makary, Yasser M. Kadah
2014 2nd Middle East Conference on Biomedical Engineering  
A new denoising technique for preprocessing of P300 and Slow Cortical Potential (SCP)-based Brain computer interface data is proposed.  ...  A better performance is achieved especially when less number of electrodes is used which accordingly reduce weight and consumed power for portable BCI applications.  ...  INTRODUCTION Brain computer interfacing (BCI) is considered an important tool used for direct communication between subject's brain and computer by reading the brain activity.  ... 
doi:10.1109/mecbme.2014.6783246 fatcat:j5f4ahyckva4zeh4c6jcrk7ura

A Hybrid Brain-Computer Interface-Based Mail Client

Tianyou Yu, Yuanqing Li, Jinyi Long, Feng Li
2013 Computational and Mathematical Methods in Medicine  
Using a BCI mouse that utilizes hybrid brain signals, that is, motor imagery and P300 potential, the user can select and activate the function keys and links on the mail client graphical user interface  ...  Brain-computer interface-based communication plays an important role in brain-computer interface (BCI) applications; electronic mail is one of the most common communication tools.  ...  Such parameter-setting methods enable P300 and motor imagery to work separately or simultaneously, depending on the control strategy of the subject.  ... 
doi:10.1155/2013/750934 pmid:23690880 pmcid:PMC3652178 fatcat:dozibxqfzjgupoqmqyxnhecwge

Exploiting EEG Channel Correlations in P300 Speller Paradigm for Brain-Computer Interface

Yali LI, Hongma LIU, Shengjin WANG
2016 IEICE transactions on information and systems  
A brain-computer interface (BCI) translates the brain activity into commands to control external devices. P300 speller based character recognition is an important kind of application system in BCI.  ...  Compared with the state-of-the-art, the recognition rate was increased by both 6% with 5 and 10 epochs by the proposed framework. key words: brain-computer interface (BCI), channel correlation analysis  ...  Fig. 2 2 (a) The character matrix in P300 speller paradigm. (b) P300 wave. Fig. 3 3 Comparison of normalized average for subject A and B. (a) The averaged signals for subject A.  ... 
doi:10.1587/transinf.2014edp7399 fatcat:23nulk2w2rdjvpv2gmal67vali

Identifying Single Trial Event-Related Potentials in an Earphone-Based Auditory Brain-Computer Interface

Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
2017 Applied Sciences  
As brain-computer interfaces (BCI) must provide reliable ways for end users to accomplish a specific task, methods to secure the best possible translation of the intention of the users are constantly being  ...  In this paper, we propose and test a number of convolutional neural network (CNN) structures to identify and classify single-trial P300 in electroencephalogram (EEG) readings of an auditory BCI.  ...  In this study, we used all EEG channels without selection.  ... 
doi:10.3390/app7111197 fatcat:rlwizv462ndgffyvlmwzi46r7e

Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces

Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada
2017 Computational Intelligence and Neuroscience  
Our results show >80% accuracy for all the CNN models using the proposed 3D input in single trial P300 classification.  ...  The CNN models are given a novel single trial three-dimensional (3D) representation of the EEG data as an input, maintaining temporal and spatial information as close to the experimental setup as possible  ...  Acknowledgments This work was partly supported by JSPS Kakenhi Grant nos. 2430051 and 16K00182 and Nagaoka University of Technology Presidential Research Grant.  ... 
doi:10.1155/2017/8163949 pmid:29250108 pmcid:PMC5698603 fatcat:2vf42rhrknap3l2v7kvmswsjta

Subject Combination and Electrode Selection in Cooperative Brain-Computer Interface Based on Event Related Potentials

Hubert Cecotti, Bertrand Rivet
2014 Brain Sciences  
New paradigms are required in Brain-Computer Interface (BCI) systems for the needs and expectations of healthy people.  ...  For instance, the performance of the P300 speller can be increased by using intersubject information and online adaptation [? ], by sensor selection [? ?  ...  Keywords: Brain-Computer Interface; cooperative mode; event-related potentials (ERP); electrode selection Introduction The field of non-invasive Brain-Computer Interface (BCI) has been particularly active  ... 
doi:10.3390/brainsci4020335 pmid:24961765 pmcid:PMC4101481 fatcat:nrxdooyxbjek3buee7crcuilv4

Correction: Cecotti, H. and Rivet, B. Subject Combination and Electrode Selection in Cooperative Brain-Computer Interface Based on Event Related Potentials. Brain Sci. 2014, 4, 335–355

Hubert Cecotti, Bertrand Rivet
2014 Brain Sciences  
Subject Combination and Electrode Selection in Cooperative Brain-Computer Interface Based on Event Related Potentials.  ...  The type of brain response can depend on the subject, i.e., the BCI can be hybrid only for some subjects (see Figure 1d ).  ...  (a,b) AUC for single-event detection as a function of the number of subjects, and AUC for a single subject as a function of the number of trials, respectively.  ... 
doi:10.3390/brainsci4030488 pmid:25243772 pmcid:PMC4194035 fatcat:g34aev4g5vbnjda2giw4dzjgqm

Single-trial classification of multi-user P300-based Brain-Computer Interface using riemannian geometry

L. Korczowski, M. Congedo, C. Jutten
2015 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
In this paper we compare different approaches for classification of single-trials Event-Related Potential (ERP) on two subjects playing a collaborative BCI game.  ...  The classification of electroencephalographic (EEG) data recorded from multiple users simultaneously is an important challenge in the field of Brain-Computer Interface (BCI).  ...  Single-Trial Classification of Multi-User P300-Based Brain-Computer Interface Using Riemannian Geometry ,  with and M the number of subjects.  ... 
doi:10.1109/embc.2015.7318721 pmid:26736621 dblp:conf/embc/KorczowskiCJ15 fatcat:kxoon2aqkfgmbbsggrcfysxycq

A Survey on the Project in title "Unsupervised Adaptive P300 BCI in the Framework of Chaotic Theory and Stochastic Theory"

Mohammed J. Alhaddad
2016 International Journal of Advanced Engineering Research and Science  
(Mohammed J Alhaddad We developed a new pre-processing method for denoising P300-based brain-computer interface data that allows better performance with lower number of channels and blocks.  ...  We also developed a novel approach for brain-computer interface data that requires no prior training.  ...  ACKNOWLEDGEMENT We would like to thank our team for their efforts in the BCI project.  ... 
doi:10.22161/ijaers/3.12.34 fatcat:7ztsgdegbrc2bpfebq7blbxqqa

Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid Robots

Jing Zhao, Wei Li, Mengfan Li, Mikhail A. Lebedev
2015 PLoS ONE  
The visual stimuli of both the SSVEP-and P300-based models were implemented on a LCD computer monitor with a refresh frequency of 60 Hz.  ...  Seven subjects with diverse experience participated in experiments concerning the open-loop and closed-loop control of a humanoid robot via brain signals.  ...  Hong Hu, and Mr. Qi Li for their assistance in performing the experiments reported in this paper. The authors also appreciate the suggestions of the reviewers which have greatly improved the paper.  ... 
doi:10.1371/journal.pone.0142168 pmid:26562524 pmcid:PMC4642929 fatcat:fwulbdm2w5dw7j66ivlx6falem

Error-related potential recorded by EEG in the context of a p300 mind speller brain-computer interface

Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle
2010 2010 IEEE International Workshop on Machine Learning for Signal Processing  
The Mind Speller ® is a Brain-Computer Interface (BCI) which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms (EEG).  ...  We tested 6 subjects and recorded several typing sessions for each of them. Responses to correct and incorrect performances of the BCI are recorded and compared.  ...  INTRODUCTION Brain Computer Interfaces (BCIs) are aimed at creating a direct communication pathway between the brain and an external device, bypassing the need for an embodiment.  ... 
doi:10.1109/mlsp.2010.5589217 fatcat:6ug2idj2xvel5f3liwhdomgiii

Online BCI typing using language model classifiers by ALS patients in their homes

William Speier, Nand Chandravadia, Dustin Roberts, Shrita Pendekanti, Nader Pouratian
2016 Brain-Computer Interfaces  
The P300 speller is a common brain-computer interface system that can provide a means of communication for patients with amyotrophic lateral sclerosis (ALS).  ...  Keywords brain-computer interface; P300 speller; electroencephalography; amyotrophic lateral sclerosis; augmentative and alternative communication The P300 speller is a common brain-computer interface  ...  Currently, his research interests include brain-computer interfaces, neuroimaging analysis, and neurosurgical interventions for pain relief.  ... 
doi:10.1080/2326263x.2016.1252143 pmid:29051907 pmcid:PMC5644496 fatcat:65z7x35bdjbfxeu3ftt2czpdpi

Application of P300 Event-Related Potential in Brain-Computer Interface [chapter]

Ali Haider, Reza Fazel-Rezai
2017 Event-Related Potentials and Evoked Potentials  
The primary purpose of this chapter is to demonstrate one of the applications of P300 event-related potential (ERP), i.e., brain-computer interface (BCI).  ...  This chapter will meet the need for a concise and practical description of basic, as well as advanced P300 ERP techniques, which is suitable for a broad range of researchers extending from today's novice  ...  Furthermore, as brain science and computer technologies mature, it is critical to have an ultimate interaction interface that will develop a direct communication between the user's brain and a computer  ... 
doi:10.5772/intechopen.69309 fatcat:5xcob7ghmbgwzavtu5dspiey6u

Brain–computer interface channel selection optimization using meta-heuristics and evolutionary algorithms

Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Roberto Hornero
2021 Applied Soft Computing  
Many brain-computer interface (BCI) studies overlook the channel optimization due to its inherent complexity.  ...  However, a careful channel selection increases the performance and users' comfort while reducing the cost of the system.  ...  Eduardo Santamaría-Vázquez was in receipt of a PIF grant by the 'Consejería de Educación de la Junta de Castilla y León'.  ... 
doi:10.1016/j.asoc.2021.108176 fatcat:f6pwbrh2jzhljch4iygqeeu4mq
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