EEG-based drowsiness estimation for safety driving using independent component analysis

By Chin-Teng Lin, R. Wu, Sheng-Fu Liang, Wen-Hung Chao, Yu-Jie Chen, Tzyy-Ping Jung. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2005

509 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/f125bf582310fe1b952536701008665f48abbf2c

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

In Signal Processing

Citations in the corpus

Driver Behavior Analysis for Safe Driving: A Survey (2015, background): “Researchers conduct several tests in vehicle simulator [31], [33] and also in real vehicle [32], [34] and the results proved that the measurement of EEG is useful to detect driver’s fatigue.”
BCILAB: a platform for brain–computer interface development (2013, background): “While this is a simple example, the general principle of using BCI measures to augment human–computer interaction has already been applied in a wide variety of scenarios (e.g., workload estimation [64, 65], passive attention deployment [66], error responses [67–69], and drowsiness monitoring [70]).”
Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2009, background): “Performing a cognitively demanding task while driving influences both the driver's visual behavior and driving performance (as indicated by braking behavior).”