A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2889223
Abstract: In recent years, it has been observed that there is an increasing rate of road accidents due to the low vigilance of drivers. Thus, the estimation of drivers’ vigilance state plays a significant role in… read more here.
Keywords: subnetwork; vigilance; cor; estimation ... See more keywords
Multimodal Vigilance Estimation Using Deep Learning.
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DOI: 10.1109/tcyb.2020.3022647
Abstract: The phenomenon of increasing accidents caused by reduced vigilance does exist. In the future, the high accuracy of vigilance estimation will play a significant role in public transportation safety. We propose a multimodal regression network… read more here.
Keywords: vigilance; estimation using; multimodal vigilance; using deep ... See more keywords
Capsule Attention for Multimodal EEG-EOG Representation Learning With Application to Driver Vigilance Estimation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3089594
Abstract: Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to help with avoiding distracted or… read more here.
Keywords: capsule attention; vigilance; vigilance estimation; capsule ... See more keywords