Automated emotion recognition: Current trends and future perspectives

M Maithri, U Raghavendra, A Gudigar… - Computer methods and …, 2022 - Elsevier
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 …

Artificial Emotional Intelligence: Conventional and deep learning approach

H Kumar, A Martin - Expert Systems with Applications, 2023 - Elsevier
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …

A deep-learning-based facial expression recognition method using textural features

M Mukhopadhyay, A Dey, S Kahali - Neural Computing and Applications, 2023 - Springer
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 …

[HTML][HTML] Continuous emotion recognition for long-term behavior modeling through recurrent neural networks

I Kansizoglou, E Misirlis, K Tsintotas, A Gasteratos - Technologies, 2022 - mdpi.com
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 …

[HTML][HTML] Multimodal Emotion Recognition using visual, vocal and Physiological Signals: a review

G Udahemuka, K Djouani, AM Kurien - Applied Sciences, 2024 - mdpi.com
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 …

[HTML][HTML] Facial emotion recognition for photo and video surveillance based on machine learning and visual analytics

O Kalyta, O Barmak, P Radiuk, I Krak - Applied Sciences, 2023 - mdpi.com
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 …

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 …

Efficient-SwishNet based system for facial emotion recognition

T Dar, A Javed, S Bourouis, HS Hussein… - IEEE Access, 2022 - ieeexplore.ieee.org
Facial emotion recognition (FER) is an important research area in artificial intelligence (AI)
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

A Bahuguna, G Bhaumik, MC Govil - Biomedical Signal Processing and …, 2024 - Elsevier
In this paper, a handcrafted feature descriptor namely Local Extrema Min–Max Pattern
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …

Facial emotion recognition: A comprehensive review

M Kaur, M Kumar - Expert Systems, 2024 - Wiley Online Library
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 …