The attention mechanism of the Transformer has the advantage of extracting feature
correlation in the long-sequence data and visualizing the model. As time-series data, the …

Emotion is an indispensable part of human emotion, which affects human normal
physiological activities and daily life decisions. Human emotion recognition is a critical …

A system that can detect the intention to move and decode the planned movement could
help all those subjects that can plan motion but are unable to implement it. In this paper …

Tracking moving targets in satellite videos has attracted wide attention recently. However,
the development of target tracking in satellite videos is much slower than that in general …

Hybrid brain–computer interfaces (BCI) utilizing the high temporal resolution of
electroencephalography (EEG) and the high spatial resolution of functional near-infrared …

This paper proposes a novel feature selection method utilizing Rényi min-entropy-based
algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet …

The motor imagery brain–computer interface (MI-BCI) provides an interactive control
channel for spinal cord injury patients. However, the limitations of feature extraction …

Abstract Brain–Computer Interfaces (BCIs) based on Electroencephalograms (EEG) monitor
mental activity with the ultimate objective of allowing people to communicate with computers …

One of the most recent challenging tasks in computer vision is Human Activity Recognition
(HAR), which aims to analyze and detect the human actions for the benefit of many fields …

Despite the developments in deep learning, extracting different features from brain signals
remains a crucial challenge in EEG-based emotion recognition. This study introduces a …