Anna Anund

Validation of the Karolinska sleepiness scale against performance and EEG variables

Sleep and the Price of Plasticity: From Synaptic and Cellular Homeostasis to Memory Consolidation and Integration

Cross-Translational Studies in Human and Drosophila Identify Markers of Sleep Loss

Predicting driver drowsiness using vehicle measures: Recent insights and future challenges

Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts.

What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated

Efficient driver drowsiness detection at moderate levels of drowsiness

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

DEMONSTRATING THE FEASIBILITY OF MULTIMODAL NEUROIMAGING DATA CAPTURE WITH A WEARABLE ELECTOENCEPHALOGRAPHY + FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (EEG+FNIRS) IN SITU

Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review

Cognitive Cars: A New Frontier for ADAS Research

Driver Fatigue Detection Systems: A Review

A Survey on State-of-the-Art Drowsiness Detection Techniques

Cooperative Adaptive Cruise Control in Real Traffic Situations

Driver Behavior Analysis for Safe Driving: A Survey

Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements

Driver Inattention Monitoring System for Intelligent Vehicles: A Review

Detecting Driver Drowsiness Based on Sensors: A Review

Age-Related Reduction of Recovery Sleep and Arousal Threshold inDrosophila

Deep Learning for Intelligent Human–Computer Interaction

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Subjective sleepiness and accident risk avoiding the ecological fallacy

The Characteristics of Sleepiness During Real Driving at Night—A Study of Driving Performance, Physiology and Subjective Experience

Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator - the DROWSI project

Impaired alertness and performance driving home from the night shift: a driving simulator study

Subjective sleepiness, simulated driving performance and blink duration: examining individual differences

Driver impairment at night and its relation to physiological sleepiness

Sleepiness and prediction of driver impairment in simulator studies using a Cox proportional hazard approach

Detecting Driver Sleepiness Using Optimized Nonlinear Combinations of Sleepiness Indicators