DOOR ACTUATION SYSTEM USING CONTACTLESS BRAINWAVE MONITORING AND GAIT RECOGNITION
Abstract:
The present disclosure is related to utilizing contactless brainwave detectors to gather a user's unique electroencephalogram (EEG) data. EEG data, as well as an additional biometric, such as gait, can be used to determine whether users have access to enter a locked system, such as a door. An access list can be created and pre-registered with the EEG data and any additional biometric data of users who have access to enter the locked system. As the user nears the locked system, they can generate the EEG data to unlock the locked system by thinking of a pre-registered password stored in the access list.
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