Automatic analysis of facial actions: A survey
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 …
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Automatic analysis of facial expressions: The state of the art
M Pantic, LJM Rothkrantz - IEEE Transactions on pattern …, 2000 - ieeexplore.ieee.org
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 …
Still, development of an automated system that accomplishes this task is rather difficult …
Attention mechanism-based CNN for facial expression recognition
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 …
vision fields, such as human–computer interaction, affective computing and so on. In this …
Effect of online review sentiment on product sales: The moderating role of review credibility perception
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 …
online consumers. With the prospering of e-commerce, increasingly fraudulent reviews are …
Facial expression recognition with convolutional neural networks: coping with few data and the training sample order
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 …
growing application areas including avatar animation, neuromarketing and sociable robots …
Impact of deep learning approaches on facial expression recognition in healthcare industries
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 …
system and exceptional services to the patients is proposed in this article. The …
TC-Net: A Transformer Capsule Network for EEG-based emotion recognition
Deep learning has recently achieved remarkable success in emotion recognition based on
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
Electroencephalogram (EEG), in which convolutional neural networks (CNNs) are the mostly …
Cambricon: An instruction set architecture for neural networks
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 …
learning and pattern recondition applications. NN techniques are conventionally executed …
Learning affective features with a hybrid deep model for audio–visual emotion recognition
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 …
visual features. Motivated by the powerful feature learning ability of deep neural networks …
Facial expression recognition via a boosted deep belief network
A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …
individual stages: feature learning, feature selection, and classifier construction. Extensive …