HIGHLIGHTS
- who: Igor Stancin et al. from the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical and, University of Zagreb, Unska, Zagreb, Croatia have published the paper: Information on Drivers’ Sex Improves EEG-Based Drowsiness Detection Model, in the Journal: (JOURNAL)
- what: The overall aim of this study is to demonstrate that detection can be improved with the use of drivers' sex information either as a feature or as separate sex-dependent datasets. The authors aim to provide a reliable sex classification model. A preliminary version of this work has been reported and . . .
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