Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion Drawing Insights From Psychology …
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …
computers and robotics, allowing for a new level of communication and understanding of …
New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
Context de-confounded emotion recognition
Abstract Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that
aims to perceive the emotional states of the target person with contextual information …
aims to perceive the emotional states of the target person with contextual information …
Progressive modality reinforcement for human multimodal emotion recognition from unaligned multimodal sequences
Human multimodal emotion recognition involves time-series data of different modalities,
such as natural language, visual motions, and acoustic behaviors. Due to the variable …
such as natural language, visual motions, and acoustic behaviors. Due to the variable …
Emotion recognition for multiple context awareness
Understanding emotion in context is a rising hotspot in the computer vision community.
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Emotion prediction as computation over a generative theory of mind
SD Houlihan, M Kleiman-Weiner… - … of the Royal …, 2023 - royalsocietypublishing.org
From sparse descriptions of events, observers can make systematic and nuanced
predictions of what emotions the people involved will experience. We propose a formal …
predictions of what emotions the people involved will experience. We propose a formal …
Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents
U Bhattacharya, N Rewkowski… - 2021 IEEE virtual …, 2021 - ieeexplore.ieee.org
We present Text2Gestures, a transformer-based learning method to interactively generate
emotive full-body gestures for virtual agents aligned with natural language text inputs. Our …
emotive full-body gestures for virtual agents aligned with natural language text inputs. Our …
Tailor versatile multi-modal learning for multi-label emotion recognition
Abstract Multi-modal Multi-label Emotion Recognition (MMER) aims to identify various
human emotions from heterogeneous visual, audio and text modalities. Previous methods …
human emotions from heterogeneous visual, audio and text modalities. Previous methods …
Adaptive multimodal emotion detection architecture for social robots
J Heredia, E Lopes-Silva, Y Cardinale… - Ieee …, 2022 - ieeexplore.ieee.org
Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …
Interaction and model their social behaviour. Since human emotions can be expressed in …
Global-local attention for emotion recognition
Human emotion recognition is an active research area in artificial intelligence and has made
substantial progress over the past few years. Many recent works mainly focus on facial …
substantial progress over the past few years. Many recent works mainly focus on facial …