The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …

Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …

Background In cognitive neuroscience the potential of deep neural networks (DNNs) for
solving complex classification tasks is yet to be fully exploited. The most limiting factor is that …

We present a survey of psychophysiology-based assessment for quality of experience (QoE)
in advanced multimedia technologies. We provide a classification of methods relevant to …

Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily
use matrix layouts and generally require moderate eye movement for successful operation …

Objective. Most existing brain–computer interface (BCI) designs based on steady-state
visual evoked potentials (SSVEPs) primarily use low frequency visual stimuli (eg,< 20 Hz) to …

Human-oriented image communication should take the quality of experience (QoE) as an
optimization goal, which requires effective image perceptual quality metrics. However …

Artificially created human faces play an increasingly important role in our digital world.
However, the so-called uncanny valley effect may cause people to perceive highly, yet not …

Ear-electroencephalography (EEG) is a promising tool for practical brain-computer interface
(BCI) applications because it is more unobtrusive, comfortable, and mobile than a typical …

As the brain is a unique biological system that reflects the subtle distinctions in the mental
attributes of individual humans, electroencephalographic (EEG) signals have been regarded …