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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/43BCTKE
Repositorysid.inpe.br/sibgrapi/2020/09.29.23.53
Last Update2020:10.01.15.10.24 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2020/09.29.23.53.31
Metadata Last Update2022:06.14.00.00.12 (UTC) administrator
DOI10.1109/SIBGRAPI51738.2020.00031
Citation KeyGarciaZheTaoLiuMan:2020:CaPiHu
TitleCapturing Pictures from Human Vision Using SSVEP and Lock-in Amplifier
FormatOn-line
Year2020
Access Date2024, Apr. 25
Number of Files1
Size4548 KiB
2. Context
Author1 Garcia, Danson Evan
2 Zheng, Kai Wen
3 Tao, Yi
4 Liu, Yi
5 Mann, Steve
Affiliation1 University of Toronto
2 University of Toronto
3 University of Toronto
4 University of Toronto
5 University of Toronto
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
e-Mail Addressdanson.garcia@mail.utoronto.ca
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationPorto de Galinhas (virtual)
Date7-10 Nov. 2020
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2020-10-01 15:10:24 :: danson.garcia@mail.utoronto.ca -> administrator :: 2020
2022-06-14 00:00:12 :: administrator -> danson.garcia@mail.utoronto.ca :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsSignal processing
visual field reconstruction
brain-computer interfaces (BCI)
steady-state visually evoked potential (SSVEP)
lock-in amplifier
pattern recognition
AbstractWe present a novel way of using one's eye to capture an image of what it "sees" through the use of steady-state visually-evoked potentials (SSVEP). Existing methods leveraging response patterns for SSVEP visual image reconstruction show lossy reconstruction and have a lengthy scanning process. With our signal acquisition procedure, data collection requirements are significantly decreased while still improving the signal clarity. The data for image reconstruction was collected from the Oz positioned electrode using a low-cost, wearable electroencephalography (EEG) device. For image reconstruction, software-defined lock-in amplifier (LIA) and discrete Fourier transform (DFT) signal processing methods are analyzed.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Capturing Pictures from...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Capturing Pictures from...
doc Directory Contentaccess
source Directory Content
PID6607063.pdf 30/09/2020 14:27 4.4 MiB
agreement Directory Content
agreement.html 29/09/2020 20:53 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/43BCTKE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/43BCTKE
Languageen
Target FilePID6607063.pdf
User Groupdanson.garcia@mail.utoronto.ca
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/43G4L9S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2020/10.28.20.46 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)danson.garcia@mail.utoronto.ca
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