Image-evoked affect and its impact on EEG-based biometrics

Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)
180 Downloads (Pure)


Electroencephalography (EEG) signals provide a representation of
the brain’s activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their robustness to interception and artificial replication. Nevertheless, such signals are commonly affected by the individual’s emotional state. In this work, we examine the use of images as stimulus for acquiring EEG signals and study whether the use of images that evoke similar emotional responses leads to higher identification accuracy compared to images that evoke different emotional responses. Results show that identification accuracy increases when the system is trained with EEG recordings that refer to similar emotional states as the EEG recordings that are used for identification, demonstrating an up to 5.3% increase on identification accuracy compared to when recordings referring to different emotional states are used. Furthermore, this improvement holds independently of the features and classification algorithms employed.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing
Subtitle of host publicationProceedings
Number of pages5
ISBN (Electronic)9781538662496
ISBN (Print)9781538662502
Publication statusPublished - 26 Aug 2019
Event26th IEEE International Conference on Image Processing - Taipei International Convention Center, Taipei, Taiwan, Province of China
Duration: 22 Sep 201925 Sep 2019
Conference number: 26

Publication series

NameIEEE Conference Proceedings
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549


Conference26th IEEE International Conference on Image Processing
Abbreviated titleICIP 2019
Country/TerritoryTaiwan, Province of China
Internet address


  • EEG
  • Biometrics
  • Image-evoked affect
  • Template ageing
  • Emotion


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