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A multimodal approach to estimating vigilance using EEG and forehead EOG
2017
Journal of Neural Engineering
Objective. Covert aspects of ongoing user mental states provide key context information for useraware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. Approach. The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for realworld applications, we adopt a novel electrode placement for forehead EOG and extract
doi:10.1088/1741-2552/aa5a98
pmid:28102833
fatcat:cllzkrgh25c3zk3moya6cttcru