Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …

As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …

Advances in signal processing and machine learning have expedited
electroencephalogram (EEG)-based emotion recognition research, and numerous EEG …

Electroencephalography (EEG)-based affective computing has a scarcity problem. As a
result, it is difficult to build effective, highly accurate and stable models using machine …

Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

Emotions are mental states associated with changes that influence people's behavior,
thinking, and health. Emotional changes can also appear in the organs and tissues of the …

Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …

Humans can portray different expressions contrary to their emotional state of mind.
Therefore, it is difficult to judge humans' real emotional state simply by judging their physical …

Structural responses of bridges occur based on their structural characteristics and
conditions. After the structural pattern is identified from the long-term measured response …

The study of the electroencephalogram signals recorded from subjects during an experience
is a way to understand the brain processes that underlie their physical and emotional …