In this study, we propose a high-precision, fine-grained emotion recognition system based on multisource throat physiological signals. The system collects signals through optimized flexible ...

A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels. This Repo consist code for transfer learning for ...

Gupta and Jain (2021) developed a deep learning-based system for emotion recognition via facial expressions. By utilizing a CNN-based system inspired by the LeNet architecture, the recognition of ...

Objective: This study aimed to develop deep learning–based automatic facial emotion recognition (FER) models for binary (positive vs negative) and multiclass emotion classification tasks, assess the ...

Emotion recognition extends far beyond facial expressions, involving a rich interplay of context, physical attributes, and background knowledge.

Human Emotion detection from image is one of the most powerful and challenging research task in social communication. Deep learning (DL) based emotion detection gives performance better than ...

However, due to the complexity and variability of human facial expression emotion features, traditional facial expression emotion recognition technology has the disadvantages of insufficient feature ...

Human Emotion detection from image is one of the most powerful and challenging research task in social communication. Deep learning (DL) based emotion detection gives performance better than ...