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 …

End-to-end modeling and transfer learning for audiovisual emotion recognition in-the-wild

D Dresvyanskiy, E Ryumina, H Kaya… - Multimodal …, 2022 - mdpi.com
As emotions play a central role in human communication, automatic emotion recognition has
attracted increasing attention in the last two decades. While multimodal systems enjoy high …

From the lab to the wild: Affect modeling via privileged information

K Makantasis, K Pinitas, A Liapis… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
How can we reliably transfer affect models trained in controlled laboratory conditions (in-
vitro) to uncontrolled real-world settings (in-vivo)? The information gap between in-vitro and …

Survey on facial expressions recognition: databases, features and classification schemes

MJAI Dujaili - Multimedia Tools and Applications, 2024 - Springer
The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …

Emotion recognition using support vector machine and one-dimensional convolutional neural network

J Sujanaa, S Palanivel, M Balasubramanian - Multimedia Tools and …, 2021 - Springer
Emotion recognition is the most regularly reviewed concept in examining behavioural
perception and human-computer interface. The proposed system considers happy, normal …

Deep feature selection for facial emotion recognition based on BPSO and SVM

K Donuk, A Arı, MF Özdemir, D Hanbay - Politeknik Dergisi, 2023 - dergipark.org.tr
Facial expressions, which are important social communication tools in our daily life, provide
important information about the mental state of people. Research is being done to obtain this …

An ensemble multi-stream classifier for infant needs detection

HA Fahmy, SF Fahmy, AADB García, GB Juan - Heliyon, 2023 - cell.com
In this paper, we propose a novel multi-stream video classifier for infant needs detection.
The proposed system is an ensemble-based system that combines several machine …

Improved Multi-Modal Emotion Recognition Using Squeeze-and-Excitation Block in Cross-Modal Attention

J Liu, J James, K Nathwani - 2023 IEEE Automatic Speech …, 2023 - ieeexplore.ieee.org
The field of multi-modal emotion recognition has gained significant attention due to its
applications in human-computer interaction. This paper explores recent advancements and …

[PDF][PDF] A Salient Binary Coding Scheme for Face and Expression Recognition from Facial Images.

S Seelothu, KV Rao - International Journal of Intelligent Engineering & …, 2021 - inass.org
The automatic Face Expression Recognition is very important in computer vision since it has
widespread applications in real time. However, the main issue is the design of an efficient …

FacialEmoNet: A Novel Facial Expression Recognition Technique

P Govindarajan, C Sadhika, G Sunil… - … on Computing for …, 2024 - ieeexplore.ieee.org
Facial emotion recognition plays a crucial role in human-computer interaction and artificial
intelligence applications, serving as a cornerstone for understanding user emotions. The …