Emotion detection using noisy EEG data
Proceedings of the 1st Augmented Human International Conference
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Emotion recognition using the emotiv EPOC device
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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Existing access control systems are mostly identity-based. However, such access control systems impose risks because recognized identity is not essentially an interpretation of good intentions of access. On the other hand, an un-identified individual might request access to suppress damage or prevent a catastrophic incident from happening. To address the limitation of current access control systems, we propose an access control method that is based on feelings which relates an access decision to the current detected emotion of the user, and map it to a category of feelings. Feelings categories are either negative resulting in denying access, or positive leading to access being granted. The proposed emotion-based access control (EBAC) mechanism adds the feelings sensation to the access control machines by analyzing the requesters' current brain signals at the time of access request to detect their current emotions, and then grants or denies access.