[HTML][HTML] 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 …
Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
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 …
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 …
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 …
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 …
Robust emotion recognition in context debiasing
Context-aware emotion recognition (CAER) has recently boosted the practical applications
of affective computing techniques in unconstrained environments. Mainstream CAER …
of affective computing techniques in unconstrained environments. Mainstream CAER …
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 …
Learning emotion representations from verbal and nonverbal communication
Emotion understanding is an essential but highly challenging component of artificial general
intelligence. The absence of extensive annotated datasets has significantly impeded …
intelligence. The absence of extensive annotated datasets has significantly impeded …
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 …