These data are part of the data sample of the paper "EEG-based approach for predicting varied human cognitive decision-making in driving". For use by editors and reviewers. This includes one compressed files: 'RAW Data.zip'. 'RAW Data.zip' includes EEG Data and driving behavior data as well as code for extracting features and training individual models. A detailed description can be found in 'Read_Me.txt'
The repository archived the behavioural data associated with the EEG experiment and the MATLAB scrip...
On a daily basis, humans need to make decisions in a complex uncertain world that requires them to a...
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task i...
These data are part of the data sample of the paper "EEG-based approach for predicting varied human ...
The number of older drivers is steadily increasing, and advancing age is associated with a high rate...
Safely operating a vehicle requires the full attention of the driver. Should the driver lose focus a...
Risky driving states such as aggressive driving and unstable driving are the cause of many traffic a...
Distraction during driving has been recognized as a significant cause of traffic accidents. The aim ...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computation...
Introduction: EEG (electroencephalogram) has been applied as a valuable measure to estimate drivers’...
The human brain can be referred to as a super micro-controller, capable of managing all forms of act...
Using computational modelling of human behavior together with concurrent recording of brain activity...
The number of older drivers is steadily increasing, and advancing age is associated with a high rate...
Finding appropriate measures to trigger machine changes in an adaptive system remains a huge challen...
Finding appropriate measures to trigger machine changes in an adaptive system remains a huge challen...
The repository archived the behavioural data associated with the EEG experiment and the MATLAB scrip...
On a daily basis, humans need to make decisions in a complex uncertain world that requires them to a...
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task i...
These data are part of the data sample of the paper "EEG-based approach for predicting varied human ...
The number of older drivers is steadily increasing, and advancing age is associated with a high rate...
Safely operating a vehicle requires the full attention of the driver. Should the driver lose focus a...
Risky driving states such as aggressive driving and unstable driving are the cause of many traffic a...
Distraction during driving has been recognized as a significant cause of traffic accidents. The aim ...
This document describes the analysis of Electroenchaplogram (EEG) or brain signals using computation...
Introduction: EEG (electroencephalogram) has been applied as a valuable measure to estimate drivers’...
The human brain can be referred to as a super micro-controller, capable of managing all forms of act...
Using computational modelling of human behavior together with concurrent recording of brain activity...
The number of older drivers is steadily increasing, and advancing age is associated with a high rate...
Finding appropriate measures to trigger machine changes in an adaptive system remains a huge challen...
Finding appropriate measures to trigger machine changes in an adaptive system remains a huge challen...
The repository archived the behavioural data associated with the EEG experiment and the MATLAB scrip...
On a daily basis, humans need to make decisions in a complex uncertain world that requires them to a...
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task i...