File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A chromatic transient visual evoked potential based encoding/decoding approach for brain-computer interface

TitleA chromatic transient visual evoked potential based encoding/decoding approach for brain-computer interface
Authors
KeywordsBrain-Computer Interface (BCI)
Chromatic Transient Visual Evoked Potential
Electroencephalography
Time-Encoded Visual Stimulation
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=5503868
Citation
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2011, v. 1 n. 4, p. 578-589 How to Cite?
AbstractThis paper presents a new encoding/decoding approach to brain-computer interface (BCI) based on chromatic transient visual evoked potential (CTVEP). The proposed CTVEP-based encoding/decoding approach is designed to provide a safer and more comfortable stimulation method than the conventional VEP-based stimulation methods for BCI without loss of efficiency. For this purpose, low-frequency isoluminant chromatic stimuli are time-encoded to serve as different input commands for BCI control, and the superior comfortableness of the proposed stimulation method is validated by a survey. A combination of diversified signal processing techniques are further employed to decode the information from CTVEP. Based on experimental results, a properly designed configuration of the CTVEP-based stimulation method and a tailored signal processing framework are developed. It is demonstrated that high performance (at information transfer rate: 58.0 bits/min, accuracy: 94.9%, false alarm rate: 1.3%) for BCI can be achieved by means of the CTVEP-based encoding/decoding approach. It turns out that to achieve such good performance, only simple signal processing algorithms with very low computational complexity are required, which makes the method suitable for the development of a practical BCI system. A preliminary prototype of such a system has been implemented with demonstrated applicability. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155731
ISSN
2015 Impact Factor: 1.578
2015 SCImago Journal Rankings: 0.911
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLai, SMen_US
dc.contributor.authorZhang, Zen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorNiu, Zen_US
dc.contributor.authorChang, Cen_US
dc.date.accessioned2012-08-08T08:35:04Z-
dc.date.available2012-08-08T08:35:04Z-
dc.date.issued2011en_US
dc.identifier.citationIEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2011, v. 1 n. 4, p. 578-589en_US
dc.identifier.issn2156-3357en_US
dc.identifier.urihttp://hdl.handle.net/10722/155731-
dc.description.abstractThis paper presents a new encoding/decoding approach to brain-computer interface (BCI) based on chromatic transient visual evoked potential (CTVEP). The proposed CTVEP-based encoding/decoding approach is designed to provide a safer and more comfortable stimulation method than the conventional VEP-based stimulation methods for BCI without loss of efficiency. For this purpose, low-frequency isoluminant chromatic stimuli are time-encoded to serve as different input commands for BCI control, and the superior comfortableness of the proposed stimulation method is validated by a survey. A combination of diversified signal processing techniques are further employed to decode the information from CTVEP. Based on experimental results, a properly designed configuration of the CTVEP-based stimulation method and a tailored signal processing framework are developed. It is demonstrated that high performance (at information transfer rate: 58.0 bits/min, accuracy: 94.9%, false alarm rate: 1.3%) for BCI can be achieved by means of the CTVEP-based encoding/decoding approach. It turns out that to achieve such good performance, only simple signal processing algorithms with very low computational complexity are required, which makes the method suitable for the development of a practical BCI system. A preliminary prototype of such a system has been implemented with demonstrated applicability. © 2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=5503868-
dc.relation.ispartofIEEE Journal on Emerging and Selected Topics in Circuits and Systemsen_US
dc.rightsIEEE Journal on Emerging and Selected Topics in Circuits and Systems. Copyright © Institute of Electrical and Electronics Engineers-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectBrain-Computer Interface (BCI)en_US
dc.subjectChromatic Transient Visual Evoked Potentialen_US
dc.subjectElectroencephalographyen_US
dc.subjectTime-Encoded Visual Stimulationen_US
dc.titleA chromatic transient visual evoked potential based encoding/decoding approach for brain-computer interfaceen_US
dc.typeArticleen_US
dc.identifier.emailZhang, Z:zgzhang@eee.hku.hken_US
dc.identifier.emailHung, YS:yshung@eee.hku.hken_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturepublished_or_final_versionen_US
dc.identifier.doi10.1109/JETCAS.2011.2178734en_US
dc.identifier.scopuseid_2-s2.0-84857063833en_US
dc.identifier.hkuros203520-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84857063833&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume1en_US
dc.identifier.issue4en_US
dc.identifier.spage578en_US
dc.identifier.epage589en_US
dc.identifier.isiWOS:000208972600015-
dc.publisher.placeUnited States-
dc.identifier.scopusauthoridLai, SM=54791134300en_US
dc.identifier.scopusauthoridZhang, Z=8597618700en_US
dc.identifier.scopusauthoridHung, YS=8091656200en_US
dc.identifier.scopusauthoridNiu, Z=23393033800en_US
dc.identifier.scopusauthoridChang, C=54790786900en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats