[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 …
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources
Emotion recognition is a crucial application in human–computer interaction. It is usually
conducted using facial expressions as the main modality, which might not be reliable. In this …
conducted using facial expressions as the main modality, which might not be reliable. In this …
Deep reinforcement learning for robust emotional classification in facial expression recognition
For emotion classification in facial expression recognition (FER), the performance of both
traditional statistical methods and state-of-the-art deep learning methods are highly …
traditional statistical methods and state-of-the-art deep learning methods are highly …
[PDF][PDF] Emotion recognition on fer-2013 face images using fine-tuned vgg-16
GP Kusuma, J Jonathan… - Advances in Science …, 2020 - pdfs.semanticscholar.org
Facial emotion recognition is one among many popular and challenging tasks in the field of
computer vision. Numerous researches have been conducted on this task and each …
computer vision. Numerous researches have been conducted on this task and each …
FER-CHC: Facial expression recognition with cross-hierarchy contrast
Facial expression recognition (FER) tasks with convolutional neural networks (CNNs) have
seen remarkable progress. However, these CNN-based approaches do not well capture …
seen remarkable progress. However, these CNN-based approaches do not well capture …
Revolutionizing sentiment classification: A deep learning approach using self-attention based encoding–decoding transformers with feature fusion
SG Tejashwini, D Aradhana - Engineering Applications of Artificial …, 2023 - Elsevier
In recent times, the growth of human computer interaction and Artificial Intelligence attains
more interest especially in facial expression detection. Though the field has attained …
more interest especially in facial expression detection. Though the field has attained …
Deep learning inspired intelligent embedded system for haptic rendering of facial emotions to the blind
In our day-to-day social interactions, non-verbal cues such as facial emotions play a vital
role. These cues assist people in understanding and inferring the hidden emotional state of …
role. These cues assist people in understanding and inferring the hidden emotional state of …
Facial emotion recognition using asymmetric pyramidal networks with gradient centralization
Facial expression recognition (FER) is a promising but challenging area of Computer Vision
(CV). Many researchers have devoted significant resources to exploring FER in recent …
(CV). Many researchers have devoted significant resources to exploring FER in recent …
Facial expression recognition using DenseNet
FER is a field of study that focuses on categorizing human emotions based on their facial
expressions. It may be utilized in video games, identifying suspicious people, patient's …
expressions. It may be utilized in video games, identifying suspicious people, patient's …
Revolutionizing sentiment classification:: A deep learning approach using self-attention based encoding–decoding transformers with feature fusion
T SG - 2023 - dl.acm.org
In recent times, the growth of human computer interaction and Artificial Intelligence attains
more interest especially in facial expression detection. Though the field has attained …
more interest especially in facial expression detection. Though the field has attained …