The early detection of drowsiness has become vital to ensure the correct and safe
development of several industries' tasks. Due to the transient mental state of a human …

In the near future, vehicles will gradually gain more autonomous functionalities. Drivers'
activity will be less about driving than about monitoring intelligent systems to which driving …

This paper provides a brief survey of recent developments on the use of
electroencephalogram (EEG) sensors for detecting mental fatigue (MF) in human operators …

The latest edition of this classic text provides a comprehensive and internationally relevant
introduction to work and organizational psychology, exploring the depth and diversity of the …

This paper deals with selected problems of human factors in the design of process control
systems. The argument is that although there are already some legal obligations to take …

Assessment of mental workload is crucial for applications that require sustained attention
and where conditions such as mental fatigue and drowsiness must be avoided. Previous …

In order to detect human operator performance degradation or breakdown, this paper
proposes an adaptive support vector machine-based method to classify operator mental …

Electroencephalograph (EEG) has been increasingly studied to identify distinct mental
factors when persons perform cognitively demanding tasks. However, most of these studies …

This paper proposes a new framework for the online monitoring and adaptive control of
automation in complex and safety-critical human-machine systems using …

This paper proposed two psychophysiological-data-driven classification frameworks for
operator functional states (OFS) assessment in safety-critical human-machine systems with …