Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …

Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Automatic emotion recognition constitutes one of the great challenges providing new tools
for more objective and quicker diagnosis, communication and research. Quick and accurate …

Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …

Human computer interaction is increasingly utilized in smart home, industry 4.0 and
personal health. Communication between human and computer can benefit by a flawless …

In this study, we conducted a systematic literature review of 107 primary studies conducted
between 2017 and 2023 to discern trends in datasets, classifiers, and contributions to …

Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …

New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

The ability to recognize emotion is one of the hallmarks of emotion intelligence. This paper
proposed to recognize emotion using physiological signals obtained from multiple subjects …

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