On the influence of affect in EEG-based subject identification
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13040184
- Type
- D - Journal article
- DOI
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10.1109/TAFFC.2018.2877986
- Title of journal
- IEEE Transactions on Affective Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 1949-3045
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Electroencephalography (EEG)-based subject identification and verification is a relatively new biometric modality with high robustness prospects that has recently become practical due to the availability of low-cost consumer-grade EEG devices. Available studies have examined the EEG acquisition protocols, the EEG biometric signature extraction, and the robustness of the recorded signatures in time (template ageing). This work is the first research work that studied and evaluated the effect of the emotional state of the users, during the enrolment and verification/identification sessions, on the accuracy of EEG-based biometric systems, showing that emotion is a factor that must be taken into consideration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -