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....
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...
Reprints and permissions About this article Cite this article 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 ...
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 signal characteristics that describe and identify ...
- 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 signal ...
STEP: spatial temporal graph convolutional networks for emotion perception from gaits. Proc AAAI Conf Artif Intell. Apr.2020;34(02):1342–50. https://doi.org/10.1609/aaai.v34i02.5490. Article Google Scholar Liu Z, Wang Y, Wang S, Zhao X, Wang H, Yin H. Heterogeneous graphs neural ...
It is considered as an affective state but not an emotion (Keltner and Shiota, 2003) and an absolute cognitive state (Clore and Huntsinger, 2007). We can define confusion as a dilemma or a blockage where the learner is uncertain and ambiguous on how to proceed in the learning process. ...
Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network. Sensors 2022, 22, 403. [Google Scholar] [CrossRef] Ao, B.; Wang, Y.; Liu, H.; Li, D.; Song, L.; Li, J. Context Impacts in Accelerometer-Based Walk Detection and Step Counting. Sensors ...
We present a learning model for multimodal context-aware emotion recognition. Our approach combines multiple human co-occurring modalities(such as facial, ... T Mittal,A Bera,D Manocha - 《IEEE Multimedia》 被引量: 0发表: 2021年 Application of Artificial Intelligence in Symptom Monitoring in Adu...
Therefore, it is necessary to study the emotion perception information fusion technology of smart library in this paper. 2. Related Work Context awareness, also known as “context awareness,” is to establish the interconnection between users and the system or various devices by managing, adjusting...