Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

Abstract: Electroencephalogram (EEG)-based facial expression recognition plays an important role in affective computing and brain–computer interface systems; however, it is conceptually distinct from ...

This is an official implementation in PyTorch of PTH-Net. Our paper is available at https://ieeexplore.ieee.org/abstract/document/10770138 The code is modified from ...

This paper proposes an improved strategy for the MobileNetV2 neural network(I-MobileNetV2) in response to problems such as large parameter quantities in existing deep convolutional neural networks and ...

Researchers from multiple disciplines, such as psychology, cognition, and computing science, have demonstrated significant interest in the computer-based recognition of emotions, leading to affective ...

Abstract: In numerous applications, including security, human-computer interface, road safety, and healthcare, real-time emotion detection is essential. This academic paper describes a Python-based ...

1 PG Department of Computer Applications, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, India. 2 PG and Research Department of Computer Science, Dwaraka Doss Goverdhan Doss Vaishnav College, ...

Healthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning ...

ABSTRACT: In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they ...