@InProceedings{GarciaZheTaoLiuMan:2020:CaPiHu,
author = "Garcia, Danson Evan and Zheng, Kai Wen and Tao, Yi and Liu, Yi and
Mann, Steve",
affiliation = "{University of Toronto} and {University of Toronto} and
{University of Toronto} and {University of Toronto} and
{University of Toronto}",
title = "Capturing Pictures from Human Vision Using SSVEP and Lock-in
Amplifier",
booktitle = "Proceedings...",
year = "2020",
editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and
Pelechano, Nuria and Wang, Zhangyang (Atlas)",
organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Signal processing, visual field reconstruction, brain-computer
interfaces (BCI), steady-state visually evoked potential (SSVEP),
lock-in amplifier, pattern recognition.",
abstract = "We 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.",
conference-location = "Porto de Galinhas (virtual)",
conference-year = "7-10 Nov. 2020",
doi = "10.1109/SIBGRAPI51738.2020.00031",
url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00031",
language = "en",
ibi = "8JMKD3MGPEW34M/43BCTKE",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43BCTKE",
targetfile = "PID6607063.pdf",
urlaccessdate = "2025, Mar. 21"
}