Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review
Y Cai, X Li, J Li - Sensors, 2023 - mdpi.com
In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
A survey on facial emotion recognition techniques: A state-of-the-art literature review
FZ Canal, TR Müller, JC Matias, GG Scotton… - Information …, 2022 - Elsevier
In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …
recognition from facial images is presented. The paper has as main objective arise the most …
A review of emotion recognition using physiological signals
Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …
many areas such as safe driving, health care and social security. In this paper, we present a …
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 …
Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …
recent rise of human–computer interaction, affective computing has become a trending …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …
[PDF][PDF] A new hybrid approach for efficient emotion recognition using deep learning
░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …
few decades and it is found to be very challenging and complex task due to large intra-class …
A globally generalized emotion recognition system involving different physiological signals
Machine learning approaches for human emotion recognition have recently demonstrated
high performance. However, only/mostly for subject-dependent approaches, in a variety of …
high performance. However, only/mostly for subject-dependent approaches, in a variety of …
Emotion recognition and detection methods: A comprehensive survey
Human emotion recognition through artificial intelligence is one of the most popular
research fields among researchers nowadays. The fields of Human Computer Interaction …
research fields among researchers nowadays. The fields of Human Computer Interaction …