As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Humans detect and interpret faces and facial expressions in a scene with little or no effort.
Still, development of an automated system that accomplishes this task is rather difficult …

Facial expression recognition is a hot research topic and can be applied in many computer
vision fields, such as human–computer interaction, affective computing and so on. In this …

Online reviews are of great importance in supporting the purchasing decision making of
online consumers. With the prospering of e-commerce, increasingly fraudulent reviews are …

Facial expression recognition has been an active research area in the past 10 years, with
growing application areas including avatar animation, neuromarketing and sociable robots …

A facial expression recognition system that can provide quick assistance to the healthcare
system and exceptional services to the patients is proposed in this article. The …

Deep learning has recently achieved remarkable success in emotion recognition based on
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …

Neural Networks (NN) are a family of models for a broad range of emerging machine
learning and pattern recondition applications. NN techniques are conventionally executed …

Emotion recognition is challenging due to the emotional gap between emotions and audio-
visual features. Motivated by the powerful feature learning ability of deep neural networks …

A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …