Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
نویسندگان
چکیده
منابع مشابه
Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
Purpose: Driving fatigue has become one of the important causes of road accidents, there are many researches to analyze driver fatigue. EEG is becoming increasingly useful in the measuring fatigue state. Manual interpretation of EEG signals is impossible, so an effective method for automatic detection of EEG signals is crucial needed. Method: In order to evaluate the complex, unstable, and non-...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2017
ISSN: 1662-5188
DOI: 10.3389/fncom.2017.00072