Abstract Knowledge production within the interdisciplinary field of human–robot interaction
(HRI) with social robots has accelerated, despite the continued fragmentation of the …

Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

Emotion is an important topic in different fields such as biomedical engineering, psychology,
neuroscience and health. Emotion recognition could be useful for diagnosis of brain and …

Facial expressions are an ideal means of communicating one's emotions or intentions to
others. This overview will focus on human facial expression recognition as well as robotic …

Skin cancer is one of the most lethal of all cancers. When it is not diagnosed and handled at
the beginning, it is supposed to extend to other areas of the body. It also occurs while the …

Facial emotion expressions are among the most potent, natural, and powerful means of
human communication. Due to the COVID‐19 pandemic, educational institutions worldwide …

It is necessary to detect multi-type farmland obstacles in real time and accurately for
unmanned agricultural vehicles. An improved YOLOv5s algorithm based on the K-Means …

This research compares the facial expression recognition accuracy achieved using image
features extracted (a) manually through handcrafted methods and (b) automatically through …

Automatic facial expression recognition (AFER), sometimes referred to as emotional
recognition, is important for socializing. Automatic methods in the past two years faced …