Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …

In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …

This paper proposes a new method based on a multiple branch cross-connected
convolutional neural network (MBCC-CNN) for facial expression recognition. Compared with …

Face images contain many important biological characteristics. The research directions of
face images mainly include face age estimation, gender judgment, and facial expression …

With the advent of the era of artificial intelligence and big data, intelligent security robots not
only improve the efficiency of the traditional intelligent security industry but also propose …

This study proposes a novel quality function deployment (QFD) design methodology based
on customers' emotions conveyed by facial expressions. The current advances in pattern …

Facial wrinkles are common aspects of ageing human skin that may be used in a variety of
image-based ageing applications. Wrinkles on the face are 3D skin characteristics that …

Real time facial expression recognition and predicting the underlying human emotion has
been an active field of research in the domain of Affective Computing. Humans' urge to make …

Patients with severe facial deformities present serious dysfunctionalities along with an
unsatisfactory aesthetic facial appearance. Several methods have been proposed to …

The goal is to use a Multi-Branch Cross-Connected Convolutional neural network to
construct a new model for expression detection based on a novel face decomposition. CNN …