One approach to therapy and training for the restoration of damaged muscles and motor
systems is rehabilitation. EEG-assisted Brain-Computer Interface (BCI) may assist in …

In education, it is critical to monitor students' attention and measure the extents to which
students participate and the differences in their levels and abilities. The overall goal of this …

The cognitive workload is a key to developing a logical and conscious thinking system.
Maintaining an optimum workload improves the performance of an individual. The …

As one of the most important research fields in the brain–computer interface (BCI) field,
electroencephalogram (EEG) classification has a wide range of application values …

The human vision system assiduously looks for exciting regions in the real world, in images
and videos, to reduce the search effort for various tasks, such as object detection and …

Driver cognitive fatigue can significantly affect driving and may lead to fatal accidents. In this
regard, automatic detection of underload driver cognitive fatigue based on upper body …

Technological advancements in healthcare, production, automobile, and aviation industries
have shifted working styles from manual to automatic. This automation requires smart …

In this paper, we designed from scratch, realized, and characterized a six-channel EEG
wearable headband for the measurement of stress-related brain activity during driving. The …

Disorders of consciousness (DoC) happen frequently in brain injuries. Automated DoC
detection is desirable because conventional clinical examinations, typically behavioural …

Introduction Attention is a complex cognitive function of human brain that plays a vital role in
our daily lives. Electroencephalogram (EEG) is used to measure and analyze attention due …