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 ...

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 ...

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 ...