Emotion context information is crucial yet complicated for emotion recognition. How to process it is a challenging problem. Existing works mainly extract context representations of the face, body and scene independently. These strategies may be limited in the understanding of emotional context relation....
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. Recent approaches invariably focus on designing sophisticated architectures or mechanisms to extract seemingly meaningful representations from...
This paper explores a ways of human-computer interaction that enable the computer to be more aware of the user's emotional expressions we present a approach for the emotion recognition from a facial expression, hand and body posture. Our model uses multimodal emotion recognition system in which ...
Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions 2024, Archives of Computational Methods in Engineering Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges 2023, ACM Computing Surveys Multimodal Emotion Recognition wit...
Context-aware services Social Agents and Avatars Emotion and Personality Virtual Humans Autonomous Actors Awareness-based Animation Social and Conversational Agents Inter-Agent Communication Social Behavior Crowd Simulation Understanding Human Activity Memory and Long-term Interaction Context representations and ...
De Pessemier, T., Dooms, S. & Martens, L. Context-aware recommendations through context and activity recognition in a mobile environment.Multimed Tools Appl72, 2925–2948 (2014). https://doi.org/10.1007/s11042-013-1582-x Download citation ...
A Context-Aware Graph Temporal Neural Network (CATGNN) method that uses dynamic neighborhood selection based on common neighbors for a given node is presented. The method uses dynamic neighborhood selection using contextual embeddings extracted from the historical interactions of the down-sampled set of...
A method and system using a processor for reasoning an optimized service of a ubiquitous system using context information and emotion awareness. The system using a processor for reasoning an optimized
- Context-aware services - Social Agents and Avatars - Emotion and Personality - Virtual Humans - Autonomous Actors - Awareness-based Animation - Social and Conversational Agents - Inter-Agent Communication - Social Behavior - Crowd Simulation - Understanding Human Activity - Memory and Long-term ...
Multimodal Prompt Learning in Emotion Recognition Using Context and Audio Information(2023.06.28) Eunseo Jeong, Gyu-Min Kim, Sangwoo Kang . - 【Mathematics】 Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023(2023.06.28) Daoji Huang, Otmar Hilliges...