HIGHLIGHTS
- who: Dulan Perera and colleagues from the School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia have published the Article: Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
- what: Non-distracted epochs in this study have a length of 1200 ms, and for distracted, it is 1600 ms. This study compared different brain connectivity methods and the conventional EEG features based on PSD. In this paper, the optimal method for driver distraction is proposed, and selecting . . .
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