Anzeige
Erschienen in:
2008 | OriginalPaper | Buchkapitel
The Use of Photo Retrieval for EEG-Based Personal Identification
verfasst von : Hideaki Touyama, Michitaka Hirose
Erschienen in: Computer-Human Interaction
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
A research on biometry based on human brain activities has lately become attracted and emerging. In this study, we investigate the feasibility of personal identification based on photo retrieval using three-channel electroencephalogram. Nine photo images were randomly presented one after another to five subjects without training. The Principal Component Analysis and the Linear Discriminant Analysis were applied to perform the simulation of the personal identification. The algorithm correctly identified 82.5, 93.0, and 100.0 % of the subject using EEG activities with 5, 10, and 20-times averaging, respectively. This study reveals a future possibility of photo retrieval tasks to realize the personal identification system using human brain activities, which will yield rich controls of machine for the users of brain-computer interface.