Reference TypeConference Proceedings
Citation KeyGarciaZheTaoLiuMan:2020:CaPiHu
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
TitleCapturing Pictures from Human Vision Using SSVEP and Lock-in Amplifier
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
Book TitleProceedings
DateNov. 7-10, 2020
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationVirtual
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.
Tertiary TypeFull Paper
Size4548 KiB
Number of Files1
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History2020-10-01 15:10:24 :: -> administrator :: 2020
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Access Date2020, Nov. 25