Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces

Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stim...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on neural systems and rehabilitation engineering Vol. 26; no. 2; pp. 334 - 343
Main Authors Won, Dong-Ok, Hwang, Han-Jeong, Kim, Dong-Min, Muller, Klaus-Robert, Lee, Seong-Whan
Format Journal Article
LanguageEnglish
Published United States IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN1534-4320
1558-0210
1558-0210
DOI10.1109/TNSRE.2017.2736600

Cover

Abstract Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FMand RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i. e., 360.4-379.6 ms; 5.5867- 5.7662 μV) than the NM-RSVP (i.e., 480.4 ms; 4.7426 μV). This led to higher and more stable performances for FMand RM-RSVP spellers than NM-RSVP speller (i. e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
AbstractList Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i.e., 360.4-379.6 ms; 5.5867- ) than the NM-RSVP (i.e., 480.4 ms; ). This led to higher and more stable performances for FM- and RM-RSVP spellers than NM-RSVP speller (i.e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i.e., 360.4-379.6 ms; 5.5867- ) than the NM-RSVP (i.e., 480.4 ms; ). This led to higher and more stable performances for FM- and RM-RSVP spellers than NM-RSVP speller (i.e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
Most event-related potential (ERP)-based brain–computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes ( i.e. , 360.4–379.6 ms; 5.5867–[Formula Omitted]) than the NM-RSVP ( i.e. , 480.4 ms; [Formula Omitted]). This led to higher and more stable performances for FM- and RM-RSVP spellers than NM-RSVP speller ( i.e. , 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FMand RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i. e., 360.4-379.6 ms; 5.5867- 5.7662 μV) than the NM-RSVP (i.e., 480.4 ms; 4.7426 μV). This led to higher and more stable performances for FMand RM-RSVP spellers than NM-RSVP speller (i. e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility of target characters by introducing motion stimuli to classical rapid serial visual presentation (RSVP) spellers that do not require any eye movement, thereby applying them to paralyzed patients with oculomotor dysfunctions. To test the feasibility of the proposed motion-based RSVP paradigm, we implemented three RSVP spellers: 1) fixed-direction motion (FM-RSVP); 2) random-direction motion (RM-RSVP); and 3) (the conventional) non-motion stimulation (NM-RSVP), and evaluated the effect of the three different stimulation methods on spelling performance. The two motion-based stimulation methods, FM- and RM-RSVP, showed shorter P300 latency and higher P300 amplitudes (i.e., 360.4-379.6 ms; 5.5867- ) than the NM-RSVP (i.e., 480.4 ms; ). This led to higher and more stable performances for FM- and RM-RSVP spellers than NM-RSVP speller (i.e., 79.06±6.45% for NM-RSVP, 90.60±2.98% for RM-RSVP, and 92.74±2.55% for FM-RSVP). In particular, the proposed motion-based RSVP paradigm was significantly beneficial for about half of the subjects who might not accurately perceive rapidly presented static stimuli. These results indicate that the use of proposed motion-based RSVP paradigm is more beneficial for target recognition when developing BCI applications for severely paralyzed patients with complex ocular dysfunctions.
Author Muller, Klaus-Robert
Hwang, Han-Jeong
Kim, Dong-Min
Won, Dong-Ok
Lee, Seong-Whan
Author_xml – sequence: 1
  givenname: Dong-Ok
  orcidid: 0000-0002-2839-6524
  surname: Won
  fullname: Won, Dong-Ok
  email: wondongok@korea.ac.kr
  organization: Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
– sequence: 2
  givenname: Han-Jeong
  orcidid: 0000-0002-1183-1219
  surname: Hwang
  fullname: Hwang, Han-Jeong
  organization: Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea
– sequence: 3
  givenname: Dong-Min
  surname: Kim
  fullname: Kim, Dong-Min
  email: dm_kim@korea.ac.kr
  organization: Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
– sequence: 4
  givenname: Klaus-Robert
  surname: Muller
  fullname: Muller, Klaus-Robert
  organization: Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
– sequence: 5
  givenname: Seong-Whan
  surname: Lee
  fullname: Lee, Seong-Whan
  email: sw.lee@korea.ac.kr
  organization: Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28809703$$D View this record in MEDLINE/PubMed
BookMark eNp9kU1r3DAQhkVJaT7aP9BCMfSSizcjyZalY7LkYyFNS5L2VBCyPAYFr-RK9qH99dFmNznkkMuMDs8ziPc9JHs-eCTkM4UFpaBO7m_ubs8XDGizYA0XAuAdOaB1LUtgFPY2b16VFWewTw5TeoBMirr5QPaZlKAa4Afkz_cwueDLM5OwK27N6LriDqMzQ_HbpTmvnxET-slssKIPsbg0_7Fc-Q5HzMNPxVk0zpfLsB7nCWOx8nn2xmL6SN73Zkj4abePyK-L8_vlVXn943K1PL0uLa_pVLLKQEtp29eVYI01CgDbhltUSiC0VkikrRG9bBmrmOC26WqDqmvqTgHvW35Ejrd3xxj-zpgmvXbJ4jAYj2FOmiqmpBQ1lRn99gp9CHP0-Xea5XxoJYQUmfq6o-Z2jZ0eo1ub-E8_55YBuQVsDClF7LV124imHMagKehNRfqpIr2pSO8qyip7pT5ff1P6spUcIr4IEkBKrvgjkFGbyQ
CODEN ITNSB3
CitedBy_id crossref_primary_10_1109_TCYB_2021_3122969
crossref_primary_10_3390_s21020592
crossref_primary_10_1080_10447318_2022_2121566
crossref_primary_10_1109_ACCESS_2022_3204758
crossref_primary_10_1109_TNSRE_2020_3023761
crossref_primary_10_3389_fncom_2022_1016516
crossref_primary_10_1088_1741_2552_ad4593
crossref_primary_10_3389_fncom_2020_587702
crossref_primary_10_3389_fnhum_2022_898300
crossref_primary_10_1016_j_measurement_2022_111738
crossref_primary_10_3390_electronics9030422
crossref_primary_10_1109_TIM_2025_3527610
crossref_primary_10_3390_s24113315
crossref_primary_10_1371_journal_pone_0274101
crossref_primary_10_1155_2022_4100381
crossref_primary_10_1109_ACCESS_2020_2990384
crossref_primary_10_1016_j_neunet_2024_106313
crossref_primary_10_1109_TCYB_2019_2924237
crossref_primary_10_1088_1741_2552_ac5eb7
crossref_primary_10_1088_1741_2552_abb692
crossref_primary_10_3390_s22239505
crossref_primary_10_3390_s20030891
crossref_primary_10_1109_TNNLS_2020_3048385
crossref_primary_10_1016_j_neuroscience_2020_02_011
crossref_primary_10_1371_journal_pone_0219238
crossref_primary_10_1016_j_bspc_2021_102930
crossref_primary_10_3390_s18092856
crossref_primary_10_1109_TCDS_2021_3061564
crossref_primary_10_1109_TNSRE_2020_3040264
Cites_doi 10.1126/science.887923
10.1088/1741-2560/12/5/056009
10.1037/0096-1523.21.1.19
10.1027/0269-8803.21.1.22
10.3389/fnins.2010.00019
10.1038/18581
10.1088/1741-2560/8/6/066003
10.1046/j.1365-2265.2001.01319.x
10.1037/0096-1523.25.6.1709
10.1109/JPROC.2009.2038406
10.1371/journal.pone.0087056
10.1016/j.neuroimage.2009.10.057
10.1371/journal.pone.0172578
10.1016/j.neuron.2008.03.027
10.1038/srep36267
10.3389/fnins.2010.00198
10.1016/j.neuroimage.2010.03.022
10.1016/j.patrec.2009.12.017
10.1016/j.patcog.2015.03.010
10.1016/j.tins.2009.05.006
10.1371/journal.pone.0067099
10.1088/1741-2560/12/2/026012
10.1186/1744-9081-6-28
10.1126/science.1141078
10.1016/j.visres.2006.09.020
10.1113/jphysiol.2006.125948
10.1113/jphysiol.2006.125633
10.1016/j.clinph.2009.04.019
10.1016/j.jneumeth.2012.04.011
10.1016/S0301-0511(99)00044-7
10.1111/j.1749-6632.2008.04122.x
10.1088/1741-2560/9/4/045006
10.1038/srep15890
10.1016/j.neuroimage.2011.05.062
10.1016/S0167-8760(01)00178-7
10.1016/j.neuroimage.2010.06.048
10.1088/1741-2560/13/1/016014
10.1109/TNSRE.2006.875550
10.1088/1741-2560/7/5/056013
10.1016/j.ijpsycho.2010.10.006
10.1016/S1388-2457(02)00057-3
10.1186/1743-0003-8-24
10.1007/978-1-4471-1599-1_103
10.1088/1741-2560/12/1/016001
10.1016/j.clinph.2012.12.050
10.1109/TNSRE.2014.2375879
10.1016/j.biopsycho.2006.04.007
10.1088/1741-2560/8/3/036021
10.1371/journal.pone.0111157
10.1016/0013-4694(88)90149-6
10.1109/TNSRE.2006.875557
10.1016/j.clinph.2010.10.049
10.7551/mitpress/7493.001.0001
10.1523/JNEUROSCI.0911-09.2009
10.1016/S0042-6989(01)00301-7
10.1007/s10633-006-9043-8
10.3389/fnins.2011.00099
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018
DBID 97E
ESBDL
RIA
RIE
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QF
7QO
7QQ
7SC
7SE
7SP
7SR
7TA
7TB
7TK
7U5
8BQ
8FD
F28
FR3
H8D
JG9
JQ2
KR7
L7M
L~C
L~D
NAPCQ
P64
7X8
DOI 10.1109/TNSRE.2017.2736600
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE Xplore Open Access Journals
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Aluminium Industry Abstracts
Biotechnology Research Abstracts
Ceramic Abstracts
Computer and Information Systems Abstracts
Corrosion Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
Materials Business File
Mechanical & Transportation Engineering Abstracts
Neurosciences Abstracts
Solid State and Superconductivity Abstracts
METADEX
Technology Research Database
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Aerospace Database
Materials Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Nursing & Allied Health Premium
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Materials Research Database
Civil Engineering Abstracts
Aluminium Industry Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
Electronics & Communications Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Ceramic Abstracts
Neurosciences Abstracts
Materials Business File
METADEX
Biotechnology and BioEngineering Abstracts
Computer and Information Systems Abstracts Professional
Aerospace Database
Nursing & Allied Health Premium
Engineered Materials Abstracts
Biotechnology Research Abstracts
Solid State and Superconductivity Abstracts
Engineering Research Database
Corrosion Abstracts
Advanced Technologies Database with Aerospace
ANTE: Abstracts in New Technology & Engineering
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
Materials Research Database

MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Occupational Therapy & Rehabilitation
EISSN 1558-0210
EndPage 343
ExternalDocumentID 28809703
10_1109_TNSRE_2017_2736600
8008839
Genre orig-research
Research Support, Non-U.S. Gov't
Journal Article
GrantInformation_xml – fundername: Development of BCI-based Brain and Cognitive Computing Technology for Recognizing User’s Intentions using Deep Learning) and the MSIT, South Korea, under the SW Starlab support program supervised by the IITP
  grantid: IITP-2015-1107
– fundername: Institute for Information and Communications Technology Promotion (IITP) through the Korea Government (MSIT)
  grantid: 2017-0-00451
GroupedDBID ---
-~X
0R~
29I
4.4
53G
5GY
5VS
6IK
97E
AAFWJ
AAJGR
AASAJ
AAWTH
ABAZT
ABVLG
ACGFO
ACGFS
ACIWK
ACPRK
AENEX
AETIX
AFPKN
AFRAH
AGSQL
AIBXA
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
ESBDL
F5P
GROUPED_DOAJ
HZ~
H~9
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
OK1
P2P
RIA
RIE
RNS
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
RIG
7QF
7QO
7QQ
7SC
7SE
7SP
7SR
7TA
7TB
7TK
7U5
8BQ
8FD
F28
FR3
H8D
JG9
JQ2
KR7
L7M
L~C
L~D
NAPCQ
P64
7X8
ID FETCH-LOGICAL-c351t-24a0b11bf54627ca900eb73ce996e0bc68e1ba6f8b224263c7d5ae9d75d903fb3
IEDL.DBID RIE
ISSN 1534-4320
1558-0210
IngestDate Fri Jul 11 15:43:09 EDT 2025
Fri Jul 25 04:52:33 EDT 2025
Wed Feb 19 02:36:10 EST 2025
Thu Apr 24 23:09:53 EDT 2025
Wed Oct 01 01:12:23 EDT 2025
Wed Aug 27 02:51:13 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c351t-24a0b11bf54627ca900eb73ce996e0bc68e1ba6f8b224263c7d5ae9d75d903fb3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-2839-6524
0000-0002-1183-1219
OpenAccessLink https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/document/8008839
PMID 28809703
PQID 2001146686
PQPubID 85423
PageCount 10
ParticipantIDs crossref_citationtrail_10_1109_TNSRE_2017_2736600
crossref_primary_10_1109_TNSRE_2017_2736600
ieee_primary_8008839
pubmed_primary_28809703
proquest_miscellaneous_1929886518
proquest_journals_2001146686
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2018-02-01
PublicationDateYYYYMMDD 2018-02-01
PublicationDate_xml – month: 02
  year: 2018
  text: 2018-02-01
  day: 01
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: New York
PublicationTitle IEEE transactions on neural systems and rehabilitation engineering
PublicationTitleAbbrev TNSRE
PublicationTitleAlternate IEEE Trans Neural Syst Rehabil Eng
PublicationYear 2018
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref57
ref13
ref56
ref12
ref59
ref15
ref58
ref14
ref53
ref52
ref55
ref11
ref54
ref10
ref17
ref16
traxler (ref42) 2011
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref41
ref44
ref43
rodieck (ref33) 1998
ref49
ref8
ref7
ref9
ref4
ref3
ref6
dornhege (ref2) 2007
ref5
ref40
ref35
ref34
ref36
ref31
ref30
ref32
ref39
ref38
mashhour (ref37) 1964
iáñez (ref47) 2013; 8
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref60
wolpaw (ref1) 2002; 113
References_xml – ident: ref58
  doi: 10.1126/science.887923
– ident: ref4
  doi: 10.1088/1741-2560/12/5/056009
– ident: ref38
  doi: 10.1037/0096-1523.21.1.19
– ident: ref60
  doi: 10.1027/0269-8803.21.1.22
– ident: ref28
  doi: 10.3389/fnins.2010.00019
– ident: ref18
  doi: 10.1038/18581
– ident: ref29
  doi: 10.1088/1741-2560/8/6/066003
– ident: ref12
  doi: 10.1046/j.1365-2265.2001.01319.x
– ident: ref36
  doi: 10.1037/0096-1523.25.6.1709
– year: 2011
  ident: ref42
  publication-title: Introduction to Psycholinguistics Understanding Language Science
– ident: ref34
  doi: 10.1109/JPROC.2009.2038406
– ident: ref57
  doi: 10.1371/journal.pone.0087056
– ident: ref53
  doi: 10.1016/j.neuroimage.2009.10.057
– ident: ref11
  doi: 10.1371/journal.pone.0172578
– ident: ref52
  doi: 10.1016/j.neuron.2008.03.027
– ident: ref9
  doi: 10.1038/srep36267
– ident: ref46
  doi: 10.3389/fnins.2010.00198
– ident: ref56
  doi: 10.1016/j.neuroimage.2010.03.022
– ident: ref59
  doi: 10.1016/j.patrec.2009.12.017
– ident: ref5
  doi: 10.1016/j.patcog.2015.03.010
– ident: ref48
  doi: 10.1016/j.tins.2009.05.006
– volume: 8
  start-page: 67099e
  year: 2013
  ident: ref47
  article-title: Using eye movement to control a computer: A design for a lightweight electro-oculogram electrode array and computer interface
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0067099
– ident: ref54
  doi: 10.1088/1741-2560/12/2/026012
– ident: ref21
  doi: 10.1186/1744-9081-6-28
– ident: ref6
  doi: 10.1126/science.1141078
– ident: ref40
  doi: 10.1016/j.visres.2006.09.020
– ident: ref3
  doi: 10.1113/jphysiol.2006.125948
– ident: ref17
  doi: 10.1113/jphysiol.2006.125633
– ident: ref26
  doi: 10.1016/j.clinph.2009.04.019
– ident: ref13
  doi: 10.1016/j.jneumeth.2012.04.011
– ident: ref16
  doi: 10.1016/S0301-0511(99)00044-7
– ident: ref27
  doi: 10.1111/j.1749-6632.2008.04122.x
– ident: ref31
  doi: 10.1088/1741-2560/9/4/045006
– ident: ref24
  doi: 10.1038/srep15890
– ident: ref50
  doi: 10.1016/j.neuroimage.2011.05.062
– ident: ref15
  doi: 10.1016/S0167-8760(01)00178-7
– ident: ref45
  doi: 10.1016/j.neuroimage.2010.06.048
– ident: ref14
  doi: 10.1088/1741-2560/13/1/016014
– ident: ref35
  doi: 10.1109/TNSRE.2006.875550
– ident: ref22
  doi: 10.1088/1741-2560/7/5/056013
– ident: ref49
  doi: 10.1016/j.ijpsycho.2010.10.006
– volume: 113
  start-page: 767
  year: 2002
  ident: ref1
  article-title: Brain-computer interfaces for communication and control
  publication-title: Clin Neurophysiol
  doi: 10.1016/S1388-2457(02)00057-3
– ident: ref55
  doi: 10.1186/1743-0003-8-24
– year: 1964
  ident: ref37
  publication-title: Psychophysical Relations in the Perception of Velocity
– ident: ref43
  doi: 10.1007/978-1-4471-1599-1_103
– ident: ref7
  doi: 10.1088/1741-2560/12/1/016001
– ident: ref32
  doi: 10.1016/j.clinph.2012.12.050
– ident: ref44
  doi: 10.1109/TNSRE.2014.2375879
– ident: ref19
  doi: 10.1016/j.biopsycho.2006.04.007
– ident: ref23
  doi: 10.1088/1741-2560/8/3/036021
– ident: ref20
  doi: 10.1371/journal.pone.0111157
– ident: ref10
  doi: 10.1016/0013-4694(88)90149-6
– ident: ref8
  doi: 10.1109/TNSRE.2006.875557
– ident: ref30
  doi: 10.1016/j.clinph.2010.10.049
– year: 2007
  ident: ref2
  publication-title: Toward Brain-Computer Interfacing
  doi: 10.7551/mitpress/7493.001.0001
– year: 1998
  ident: ref33
  publication-title: The First Steps in Seeing
– ident: ref51
  doi: 10.1523/JNEUROSCI.0911-09.2009
– ident: ref41
  doi: 10.1016/S0042-6989(01)00301-7
– ident: ref39
  doi: 10.1007/s10633-006-9043-8
– ident: ref25
  doi: 10.3389/fnins.2011.00099
SSID ssj0017657
Score 2.5163562
Snippet Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for...
Most event-related potential (ERP)-based brain–computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for...
SourceID proquest
pubmed
crossref
ieee
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 334
SubjectTerms Adult
Brain
Brain-computer interface (BCI)
Brain-Computer Interfaces
Character recognition
Color
Communication Aids for Disabled
Electroencephalography
Equipment Design
event-related potential (ERP)
Event-related potentials
Event-Related Potentials, P300
Eye Movements
Feasibility studies
Female
Fixation, Ocular - physiology
gaze-independent
Healthy Volunteers
Human-computer interface
Humans
Interfaces
Latency
Male
Motion detection
Paralysis - rehabilitation
Patients
Psychomotor Performance
rapid serial visual presentation (RSVP)
Shape
Stimulation
Target recognition
Training
Visual stimuli
Visualization
Young Adult
Title Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces
URI https://ieeexplore.ieee.org/document/8008839
https://www.ncbi.nlm.nih.gov/pubmed/28809703
https://www.proquest.com/docview/2001146686
https://www.proquest.com/docview/1929886518
Volume 26
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-0210
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0017657
  issn: 1534-4320
  databaseCode: RIE
  dateStart: 20010101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB61PXHhVR6BgowEXCBbJ3H8OFLUqiBthZYt6gEpsp2JVBVlKza58OsZOw8eAsQpkeIktmZGMx7PfB_Ac9p0cKucJeUtMRW-JJOyVqXWC2eQ4g2HoXd4eSZPz8X7i_JiB17PvTCIGIvPcBFu41l-vfF9SJUdUnCjyaHvwq7ScujVmk8MlIyonmTAIhVFzqcGGW4O12cfV8ehikstyFlLcvEBApgU16iJK2v0R5Fg5e-xZvQ5J7dgOc12KDW5WvSdW_hvvwE5_u9ybsPNMfhkbwZtuQM72N6FFz8DDbP1gDLAXrLVLxje-_B5GQl_0iPyezVb2evLmg25NfbpctvT5cOPVqaWUTDMQiVR-m4m2u3YUSCkSCcmCRbTkU0oCrsH5yfH67en6cjNkPqizLo0F5a7LHNNKWSuvDWco1OFR9o_IXdeasyclY12ecSE96ouLZpalbXhReOK-7DXblp8CKxGaXKvjLZaiMI6J4rGC-2RS-6sbhLIJglVflx04M_4UsUNDDdVFHAVBFyNAk7g1fzO9QDb8c_R-0E688hRMAkcTIpQjZa9DbSdoZFbapnAs_kx2WQ4aLEtbvptRVGz0VqWmU7gwaBA87cnvXv0538-hhs0Mz3UhR_AXve1xycU9nTuadT373Ax_Sc
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwEB6VcoALBcojpYCRgAt46yR-HilqtYXuCi1b1EOlyHYcqaLKVt3kwq_Hdh5QVBCnRIqT2JoZzXg8830Ar_2mg2hhtFde5jC1zJuU1gJrS41yPt4wLvQOz-Z8ekI_nbLTDXg_9sI452LxmZuE23iWX65sG1Jlez64kd6h34LbjFLKum6t8cxA8Ijr6U2YYppnZGiRIWpvOf-6OAh1XGLi3TX3Tj6AAHvVVWJgy-o9UqRY-Xu0Gb3O4RbMhvl2xSbfJ21jJvbHH1CO_7ug-3CvDz_Rh05fHsCGqx_Cm9-hhtGywxlAb9HiGor3NpzNIuUP3veer0QLfXleoi67hr6dr1t_-fKrmalGPhxGoZYIH41Uuw3aD5QUeOCSQDEhWYWysEdwcniw_DjFPTsDtjlLG5xRTUyamopRngmrFSHOiNw6v4NyxFguXWo0r6TJIiq8FSXTTpWClYrklckfw2a9qt1TQKXjKrNCSS0pzbUxNK8sldYRToyWVQLpIKHC9osODBoXRdzCEFVEARdBwEUv4ATeje9cdsAd_xy9HaQzjuwFk8DuoAhFb9vrQNwZWrm55Am8Gh97qwxHLbp2q3Zd-LhZSclZKhN40inQ-O1B73Zu_udLuDNdzo6L46P552dw189SdlXiu7DZXLXuuQ-CGvMi6v5P1A0Agw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Motion-Based+Rapid+Serial+Visual+Presentation+for+Gaze-Independent+Brain-Computer+Interfaces&rft.jtitle=IEEE+transactions+on+neural+systems+and+rehabilitation+engineering&rft.au=Won%2C+Dong-Ok&rft.au=Hwang%2C+Han-Jeong&rft.au=Kim%2C+Dong-Min&rft.au=Muller%2C+Klaus-Robert&rft.date=2018-02-01&rft.issn=1558-0210&rft.eissn=1558-0210&rft.volume=26&rft.issue=2&rft.spage=334&rft_id=info:doi/10.1109%2FTNSRE.2017.2736600&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1534-4320&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1534-4320&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1534-4320&client=summon