Real-time EEG-based detection of fatigue driving danger for accident prediction.
about
Perception and Cognition of Cues Used in Synchronous Brain-Computer Interfaces Modify Electroencephalographic Patterns of Control Tasks.An EEG-Based Fatigue Detection and Mitigation System.Microsleeps are Associated with Stage-2 Sleep Spindles from Hippocampal-Temporal Network.Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features.An EEG Study of a Confusing State Induced by Information Insufficiency during Mathematical Problem-Solving and Reasoning
P2860
Real-time EEG-based detection of fatigue driving danger for accident prediction.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh-hant
name
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@en
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@nl
type
label
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@en
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@nl
prefLabel
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@en
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@nl
P2093
P2860
P1476
Real-time EEG-based detection of fatigue driving danger for accident prediction.
@en
P2093
Fuwang Wang
Tianwei Shi
P2860
P304
P356
10.1142/S0129065715500021
P577
2014-12-25T00:00:00Z