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Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
Artificial Emotional Intelligence: Conventional and deep learning approach
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
A deep-learning-based facial expression recognition method using textural features
Human facial expression and emotion play pivotal roles in our day-to-day communication,
and detecting them are one of the formidable tasks in the field of human–computer …
and detecting them are one of the formidable tasks in the field of human–computer …
[HTML][HTML] Continuous emotion recognition for long-term behavior modeling through recurrent neural networks
One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
[HTML][HTML] Multimodal Emotion Recognition using visual, vocal and Physiological Signals: a review
The dynamic expressions of emotion convey both the emotional and functional states of an
individual's interactions. Recognizing the emotional states helps us understand human …
individual's interactions. Recognizing the emotional states helps us understand human …
[HTML][HTML] Facial emotion recognition for photo and video surveillance based on machine learning and visual analytics
Featured Application Can be used in video surveillance systems for large groups of people.
Abstract Modern video surveillance systems mainly rely on human operators to monitor and …
Abstract Modern video surveillance systems mainly rely on human operators to monitor and …
Optimized anfis model with hybrid metaheuristic algorithms for facial emotion recognition
M Dirik - International Journal of Fuzzy Systems, 2023 - Springer
Emotion recognition from facial images is an important and active area of research. Facial
features are widely used in computer vision for emotion interpretation, cognitive science …
features are widely used in computer vision for emotion interpretation, cognitive science …
Efficient-SwishNet based system for facial emotion recognition
Facial emotion recognition (FER) is an important research area in artificial intelligence (AI)
and has many applications ie, face authentication systems, e-learning, entertainment …
and has many applications ie, face authentication systems, e-learning, entertainment …
Local Extrema Min-Max Pattern: A novel descriptor for extracting compact and discrete features for hand gesture recognition
In this paper, a handcrafted feature descriptor namely Local Extrema Min–Max Pattern
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …
Facial emotion recognition: A comprehensive review
Facial emotion recognition (FER) represents a significant outcome of the rapid
advancements in artificial intelligence (AI) technology. In today's digital era, the ability to …
advancements in artificial intelligence (AI) technology. In today's digital era, the ability to …