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Facial Emotion Recognition Using Context Based Multimodal Approach
Emotions play a crucial role in person to person
interaction. In recent years, there has been a growing interest in
improving all aspects of interaction between humans and
computers. The ability to understand human ...
Effects of sleep loss on emotion recognition: a dissociation between face and word stimuli
(Springer Verlag, 2014)
A multi-modal visual emotion recognition method to instantiate an ontology
(SciTePressPE, 2021)
"Human emotion recognition from visual expressions is an important research area in computer vision and machine learning owing to its significant scientific and commercial potential. Since visual expressions can be captured ...
An automatic emotion recognition system that uses the human body posture
(Universidad Católica San PabloPE, 2021)
Non-verbal communication is very present in our lives, but it can be interpreted in different ways according to many factors. With nonverbal gestures,
people can express explicit and implicit messages, which makes them ...
Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents
Emotionally responsive agents that can simulate emotional intelligence increase the acceptance of users towards them, as the feeling of empathy reduces negative perceptual feedback. This has fostered research on emotional ...
Human emotion recognition for enhanced performance evaluation in e-learning
In interpersonal relationships, the recognition of human emotion plays an important role. Speech, hand and gestures of the body and facial expressions reflect emotions. Therefore, the interaction between human and machine ...
Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation
Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many ...
Emotion Recognition in Social Media: A Case Study About Tax Frauds
(Springer Verlag, 2019)
Spoken emotion recognition using hierarchical classifiers
(Elsevier, 2011-07)
The recognition of the emotional state of speakers is a multi-disciplinary research area that has received great interest over the last years. One of the most important goals is to improve the voice-based human-machine ...