Authentication using c-VEP evoked in a mild-burdened cognitive task

Authentication using c-VEP evoked in a mild-burdened cognitive task

Blog Article

In recent years, more and more researchers are devoting themselves to the studies about authentication based on biomarkers.Among a wide variety of biomarkers, code-modulated visual evoked potential (c-VEP) has attracted increasing attention due to its significant role in the field of brain-computer interface.In this study, we designed a mild-burdened cognitive task (MBCT), which can check whether participants focus their attention on the visual stimuli that evoke c-VEP.Furthermore, we investigated the authentication based on the c-VEP evoked in the cognitive task 2 Way 5.25" by introducing a deep learning method.

Seventeen participants were recruited to take part in the MBCT experiments including two sessions, which were carried out on two different days.The c-VEP signals from the first session were extracted to train the authentication deep models.The c-VEP data of the second session were used to verify the models.It achieved a desirable performance, with the average accuracy and F1 score, respectively, of 0.

92 and 0.89.These results show EYE MAKE-UP REMOVER that c-VEP carries individual discriminative characteristics and it is feasible to develop a practical authentication system based on c-VEP.