EEG-Based Familiar and Unfamiliar Face Classification Using Filter-Bank Differential Entropy Features

G Liu, Y Wen, JH Hsiao, D Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The face recognition of familiar and unfamiliar people is an essential part of our daily lives.
However, its neural mechanism and relevant electroencephalography (EEG) features are …

EEG-based familiar and unfamiliar face classification using differential entropy feature

G Liu, D Zhang, L Tian, W Zhou - 2021 IEEE 2nd International …, 2021 - ieeexplore.ieee.org
This study presents a novel approach for familiar and unfamiliar face classification based on
electroencephalography (EEG). Firstly, the raw EEG epoch is temporally split into three …

EEG-FRM: a neural network based familiar and unfamiliar face EEG recognition method

C Chen, L Fan, Y Gao, S Qiu, W Wei, H He - Cognitive Neurodynamics, 2024 - Springer
Recognizing familiar faces holds great value in various fields such as medicine, criminal
investigation, and lie detection. In this paper, we designed a Complex Trial Protocol-based …

Exploration of face-perceptual ability by EEG induced deep learning algorithm

L Ghosh, D Dewan, A Chowdhury, A Konar - Biomedical Signal Processing …, 2021 - Elsevier
Face perception essentially refers to an individual's ability to understand and interpret a
familiar face. This paper attempts to quantify the face perceptual ability of human subjects …

Brain Connectivity Analysis for EEG-based Face Perception Task

DD Chakladar, NR Pal - IEEE Transactions on Cognitive and …, 2024 - ieeexplore.ieee.org
Face perception is considered a highly developed visual recognition skill in human beings.
Most face perception studies used Functional Magnetic Resonance Imaging to identify …

ConvoForest Classification of New and Familiar Faces using EEG

F William, R Aygun - 2022 IEEE 16th International Conference …, 2022 - ieeexplore.ieee.org
Face recognition by familiarity or recollection is a task people perform routinely in their daily
lives. In the process of automating human experiences, existing studies have applied …

Multi-modal emotion recognition combining face image and EEG signal

Y Hu, F Wang - Journal of Circuits, Systems and Computers, 2023 - World Scientific
Face expression can be used to identify human emotions, but it is easy to misjudge when
hidden artificially. In addition, the sentiment recognition of a single mode often results in low …

Classification of EEG signals of familiar and unfamiliar face stimuli exploiting most discriminative channels

A Özbeyaz, S Arica - Turkish Journal of Electrical Engineering …, 2017 - journals.tubitak.gov.tr
The objective of the study is to classify electroencephalogram signals recorded in a familiar
and unfamiliar face recognition experiment. Frontal views of familiar and unfamiliar face …

Detection of Familiar and Unfamiliar faces from EEG

N Vanzara, CP Shah… - Journal of Integrated …, 2024 - pubs.thesciencein.org
Face recognition is a complex cognitive task that involves a distributed network of neural
sources. While some components of this network have been identified, the temporal …

[HTML][HTML] Deep convolutional neural network-based visual stimuli classification using electroencephalography signals of healthy and alzheimer's disease subjects

D Komolovaitė, R Maskeliūnas, R Damaševičius - Life, 2022 - mdpi.com
Visual perception is an important part of human life. In the context of facial recognition, it
allows us to distinguish between emotions and important facial features that distinguish one …