Gondesen, FlorianFlorianGondesenGollmann, DieterDieterGollmann2021-04-202021-04-202021-02International Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS 2021)http://hdl.handle.net/11420/9334The performance of contemporary biometrics systems based on electroencephalography (EEG) suffers from a low signal to noise ratio due to the properties of the human EEG and the measurement on the scalp. There is a trade-off between accuracy and the time required for data acquisition. Additional time is needed to mount an EEG headset so that authentication requires several minutes, rendering it not very usable for most scenarios. In a scenario where an EEG headset is already worn for a different purpose, the setup time can be neglected and the time for data acquisition may be extended if it does not interfere with the subject’s actual task, allowing continuous authentication. However, most proposed EEG-based authentication systems require the user to perform a certain task during data acquisition, distracting the user from the actual task. We conceptualize an EEG-based continuous authentication scheme that does not require the user to perform a task in addition to working at a screen. We propose two approaches based on well known brain responses, SSVEP and ERP.enAuthenticationBiometricsElectroencephalographyVisualConference PaperOther