Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
S Hazmoune, F Bougamouza - Engineering Applications of Artificial …, 2024 - Elsevier
Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …
social robotics. Conventional unimodal approaches for emotion recognition, depending on …
Linear discriminant analysis
Linear discriminant analysis (LDA) is a versatile statistical method for reducing redundant
and noisy information from an original sample to its essential features. Particularly, LDA is a …
and noisy information from an original sample to its essential features. Particularly, LDA is a …
Multimodal emotion recognition with modality-pairwise unsupervised contrastive loss
Emotion recognition is involved in several real-world applications. With an increase in
available modalities, automatic understanding of emotions is being performed more …
available modalities, automatic understanding of emotions is being performed more …
HiT-MST: Dynamic facial expression recognition with hierarchical transformers and multi-scale spatiotemporal aggregation
X Xia, D Jiang - Information Sciences, 2023 - Elsevier
Facial expression recognition rarely explores complex spatiotemporal dependencies among
facial regions at different scales. This paper proposes a transformer-based three-layer …
facial regions at different scales. This paper proposes a transformer-based three-layer …
Wireless sensing technology combined with facial expression to realize multimodal emotion recognition
X Dang, Z Chen, Z Hao, M Ga, X Han, X Zhang, J Yang - Sensors, 2022 - mdpi.com
Emotions significantly impact human physical and mental health, and, therefore, emotion
recognition has been a popular research area in neuroscience, psychology, and medicine …
recognition has been a popular research area in neuroscience, psychology, and medicine …
Classification of pain expression images in elderly with hip fractures based on improved ResNet50 network
Y Shuang, G Liangbo, Z Huiwen, L Jing… - Frontiers in …, 2024 - frontiersin.org
The aim of this study is designed an improved ResNet 50 network to achieve automatic
classification model for pain expressions by elderly patients with hip fractures. This study …
classification model for pain expressions by elderly patients with hip fractures. This study …
Behavioral intention of mental health practitioners toward the adoption of virtual humans in affect recognition training
This paper explores the key factors influencing mental health professionals' behavioral
intention to adopt virtual humans as a means of affect recognition training. Therapies …
intention to adopt virtual humans as a means of affect recognition training. Therapies …
Pertinent feature selection techniques for automatic emotion recognition in stressed speech
Recently, the recognition of the emotional state or stress level of a user has been accepted
as an emerging research topic in the field of human–machine interface and psychiatry …
as an emerging research topic in the field of human–machine interface and psychiatry …
Emotion Detection Based on Consecutive Facial by Combining CNN and LSTM Implemented on FPGA Chip
ST Pan, HJ Wu - 2024 - preprints.org
This paper proposed emotion recognition methods for consecutive facial images, and
implements the inference of neural network model on a field-programmable gate array …
implements the inference of neural network model on a field-programmable gate array …
Automated Pain Assessment Increases Nurses' Working Efficiency in elderly with hip fractures
S Yang, L Gong, H Zhao, J Liu, X Chen, S Shen, X Zhu… - 2023 - researchsquare.com
The aim of this study was to design a modified ResNet 50 algorithm to achieve automatic
classification model for pain expressions by elderly patients with hip fractures. We built a …
classification model for pain expressions by elderly patients with hip fractures. We built a …