2022
DOI: 10.1007/978-3-031-05900-1_12
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Visualizing the Electroencephalography Signal Discrepancy When Maintaining Social Distancing: EEG-Based Interactive Moiré Patterns

Jingjing Li,
Ye Yang,
Zhexin Zhang
et al.
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“…Currently, an increasing number of studies are incorporating user EEG signals. Relevant studies and applications exist in many fields, such as user experience analysis during human–computer interaction ( Lee, 2004 ; Frey et al, 2013 ; Li et al, 2022b ), driver fatigue detection ( Jap et al, 2009 ; Borghini et al, 2014 ; Gao et al, 2019 ), emotion recognition ( Alarcao and Fonseca, 2017 ; Shu et al, 2018 ), etc. Additionally, more studies have used headset-based noninvasive brain–computer interfaces ( Cincotti et al, 2008 ; Cecotti, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…Currently, an increasing number of studies are incorporating user EEG signals. Relevant studies and applications exist in many fields, such as user experience analysis during human–computer interaction ( Lee, 2004 ; Frey et al, 2013 ; Li et al, 2022b ), driver fatigue detection ( Jap et al, 2009 ; Borghini et al, 2014 ; Gao et al, 2019 ), emotion recognition ( Alarcao and Fonseca, 2017 ; Shu et al, 2018 ), etc. Additionally, more studies have used headset-based noninvasive brain–computer interfaces ( Cincotti et al, 2008 ; Cecotti, 2011 ).…”
Section: Introductionmentioning
confidence: 99%