Abstract
In this paper, we propose a new biometric system based on the neurophysiological features of face-specific visual self representation in a human brain, which can be measured by ElectroEncephaloGraphy (EEG). First, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system that can validate a person's identity by comparing the observed trait with those stored in the database (one-to-one matching). Unlike previous methods that considered the brain activities of the resting state, motor imagery, or visual evoked potentials, there are evidences that the proposed paradigm generates unique subject-specific brain-wave patterns in response to self- and non-self-face images from psychology and neurophysiology studies. Second, we devise a method for adaptive selection of EEG channels and time intervals for each subject in a discriminative manner. This makes the system immune to forgery since the selected EEG channels and time intervals for a client may not be consistent with those of imposters in terms of the latency and amplitude of the brain-waves. Based on our experimental results and analysis, it is believed that the proposed person authentication system can be considered as a new biometric authentication system.
| Original language | English |
|---|---|
| Pages (from-to) | 1159-1169 |
| Number of pages | 11 |
| Journal | Pattern Recognition |
| Volume | 46 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2013 Apr 1 |
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Keywords
- Biometrics
- Electroencephalography (EEG)
- Face-specific visual self representation
- Person authentication
ASJC Scopus subject areas
- Software
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Person authentication from neural activity of face-specific visual self-representation. / Yeom, Seul Ki; Suk, Heung-Il; Lee, Seong Whan.
In: Pattern Recognition, Vol. 46, No. 4, 01.04.2013, p. 1159-1169.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Person authentication from neural activity of face-specific visual self-representation
AU - Yeom, Seul Ki
AU - Suk, Heung-Il
AU - Lee, Seong Whan
PY - 2013/4/1
Y1 - 2013/4/1
N2 - In this paper, we propose a new biometric system based on the neurophysiological features of face-specific visual self representation in a human brain, which can be measured by ElectroEncephaloGraphy (EEG). First, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system that can validate a person's identity by comparing the observed trait with those stored in the database (one-to-one matching). Unlike previous methods that considered the brain activities of the resting state, motor imagery, or visual evoked potentials, there are evidences that the proposed paradigm generates unique subject-specific brain-wave patterns in response to self- and non-self-face images from psychology and neurophysiology studies. Second, we devise a method for adaptive selection of EEG channels and time intervals for each subject in a discriminative manner. This makes the system immune to forgery since the selected EEG channels and time intervals for a client may not be consistent with those of imposters in terms of the latency and amplitude of the brain-waves. Based on our experimental results and analysis, it is believed that the proposed person authentication system can be considered as a new biometric authentication system.
AB - In this paper, we propose a new biometric system based on the neurophysiological features of face-specific visual self representation in a human brain, which can be measured by ElectroEncephaloGraphy (EEG). First, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system that can validate a person's identity by comparing the observed trait with those stored in the database (one-to-one matching). Unlike previous methods that considered the brain activities of the resting state, motor imagery, or visual evoked potentials, there are evidences that the proposed paradigm generates unique subject-specific brain-wave patterns in response to self- and non-self-face images from psychology and neurophysiology studies. Second, we devise a method for adaptive selection of EEG channels and time intervals for each subject in a discriminative manner. This makes the system immune to forgery since the selected EEG channels and time intervals for a client may not be consistent with those of imposters in terms of the latency and amplitude of the brain-waves. Based on our experimental results and analysis, it is believed that the proposed person authentication system can be considered as a new biometric authentication system.
KW - Biometrics
KW - Electroencephalography (EEG)
KW - Face-specific visual self representation
KW - Person authentication
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U2 - 10.1016/j.patcog.2012.10.023
DO - 10.1016/j.patcog.2012.10.023
M3 - Article
VL - 46
SP - 1159
EP - 1169
JO - Pattern Recognition
JF - Pattern Recognition
SN - 0031-3203
IS - 4
ER -