Electroencephalography (EEG) is commonly used for measuring brain activity information
due to its high temporal resolution. However, it severely suffers from noises produced by non …

This work presents a novel cross-modality method for acquiring human visual perception on
stereoscopic image quality ranking (SIQR), aiming to learn latent biological representations …

To solve the problem of the poor performance of a flame detection algorithm in a complex
forest background, such as poor detection performance, insensitivity to small targets, and …

Eye blink artifacts in electroencephalographic (EEG) signals have been used in multiple
applications as an effective method for human–computer interaction. Hence, an effective …

Electroencephalography (EEG) artifacts are very common in clinical diagnosis and can
heavily impact diagnosis. Manual screening of artifact events is labor-intensive with little …

Eyeblink detection is critical in areas such as electroencephalography (EEG) artifact removal
and health monitoring. In this article, we propose a single-channel automatic eyeblink …

Despite the close correlation between psychological states and behavior during civil aircraft
evacuations, accurately characterizing the diverse reactions of passengers in cramped …

In recent years, single-channel physiological recordings have gained popularity in portable
health devices and research settings due to their convenience. However, the presence of …

Brain–computer interface (BCI) is an upspringing avenue that has dipped its hands in a
variety of fields. BCI device collects brain waves from individuals in the form of …

This research endeavour introduces a state-of-the-art, assimilated approach for eye blink
detection from Electroencephalography (EEG) signals. It combines the prominent strategies …