Assessing the Driver's Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study.
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Multisubject "Learning" for Mental Workload Classification Using Concurrent EEG, fNIRS, and Physiological Measures.In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI.Recognizing Frustration of Drivers From Face Video Recordings and Brain Activation Measurements With Functional Near-Infrared SpectroscopyA Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy
P2860
Assessing the Driver's Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Assessing the Driver's Current ...... istic Driving Simulator Study.
@en
type
label
Assessing the Driver's Current ...... istic Driving Simulator Study.
@en
prefLabel
Assessing the Driver's Current ...... istic Driving Simulator Study.
@en
P2093
P2860
P356
P1476
Assessing the Driver's Current ...... listic Driving Simulator Study
@en
P2093
Anirudh Unni
Meike Jipp
P2860
P356
10.3389/FNHUM.2017.00167
P577
2017-04-05T00:00:00Z