[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms
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 …
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
A facial expression recognition method based on a multibranch cross-connection convolutional neural network
C Shi, C Tan, L Wang - IEEE access, 2021 - ieeexplore.ieee.org
This paper proposes a new method based on a multiple branch cross-connected
convolutional neural network (MBCC-CNN) for facial expression recognition. Compared with …
convolutional neural network (MBCC-CNN) for facial expression recognition. Compared with …
Heterogenous-view occluded expression data recognition based on cycle-consistent adversarial network and K-SVD dictionary learning under intelligent cooperative …
Y Jiang, S Yin - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
In space art design, the recognition of expression is of great help to the understanding of art.
It is very difficult to obtain occlusion expression data from robot environment. In particular, it …
It is very difficult to obtain occlusion expression data from robot environment. In particular, it …
Facial emotion recognition in immersive virtual reality: A systematic literature review
With the broader adoption of virtual reality (VR), objective physiological measurements to
automatically assess a user's emotional state are gaining importance. Emotions affect …
automatically assess a user's emotional state are gaining importance. Emotions affect …
mmfer: Millimetre-wave radar based facial expression recognition for multimedia iot applications
Facial expression recognition plays a vital role to enable emotional awareness in
multimedia Internet of Things applications. Traditional camera or wearable sensor based …
multimedia Internet of Things applications. Traditional camera or wearable sensor based …
In the blink of an eye: Event-based emotion recognition
We introduce a wearable single-eye emotion recognition device and a real-time approach to
recognizing emotions from partial observations of an emotion that is robust to changes in …
recognizing emotions from partial observations of an emotion that is robust to changes in …
Facelistener: Recognizing human facial expressions via acoustic sensing on commodity headphones
Facial expressions are important indicators of user needs that can be used in many
interactive computing applications to adapt the system behaviors and settings. Current …
interactive computing applications to adapt the system behaviors and settings. Current …
Facial expression recognition using multi-branch attention convolutional neural network
Y He - Ieee Access, 2022 - ieeexplore.ieee.org
Facial expression recognition technology was extensively used. This paper develops a multi-
branch attention convolutional neural network based on a multiple-branch structure to …
branch attention convolutional neural network based on a multiple-branch structure to …
Teacher–student training and triplet loss to reduce the effect of drastic face occlusion: Application to emotion recognition, gender identification and age estimation
MI Georgescu, GE Duţǎ, RT Ionescu - Machine Vision and Applications, 2022 - Springer
We study a series of recognition tasks in two realistic scenarios requiring the analysis of
faces under strong occlusion. On the one hand, we aim to recognize facial expressions of …
faces under strong occlusion. On the one hand, we aim to recognize facial expressions of …
Objective class-based micro-expression recognition under partial occlusion via region-inspired relation reasoning network
Micro-expression recognition (MER) has attracted the attention of many researchers in the
past decade. However, occlusion occurs for MER in real-world scenarios. In this paper, a …
past decade. However, occlusion occurs for MER in real-world scenarios. In this paper, a …